论文信息 - On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks

2016

The 2016 Australian fashion report: the truth behind the barcode

This is the third edition of the Australian Fashion Report. It is being launched on the eve of the third anniversary of the Rana Plaza factory collapse in Bangladesh, a tragedy which cut short the lives of 1,136 garment workers. When the factory came down, it simultaneously catapulted the poor and unsafe working conditions of the apparel industry to front page news and to the front of our minds. The Rana Plaza shocked the collective conscience of consumers and decision makers across the world, helping to accelerate efforts to uphold the rights of workers throughout the entire apparel industry supply chain. Three years on however, the need remains pressing. There are presently 14.2 million people in forced labour exploitation and 168 million child labourers scattered across the global economy. Many of this number are forced to work in the farms and factories that feed the apparel industry. For millions of others working in the industry, wages remain so low that they are unable to lift themselves and their families out of poverty. The Australian Fashion Report sheds light on what the industry and individual companies are doing to address forced labour, child labour and exploitation. Each report - since the launch of the first in 2013 - has tracked the progress within the industry. The change since 2013 has been significant. In this edition we have assessed 87 companies, awarding each a grade from A to F based on the strength of their labour rights management systems to mitigate the risk of exploitation in their supply chain. This report marks a significant expansion of the work of previous reports adding 50% more companies, updating the research and adopting a new and enhanced rating tool. 78% of the companies assessed directly engaged in the research process - up from 54% in the first report. Fairtrade companies, though still relatively niche, remain the standout when it comes to strong labour rights management. Etiko and Audrey Blue (inc. Mighty Good Undies) both received A+ grades. The next best performer was one of the world’s biggest fashion retailers, Inditex (Zara), which received an A grade. Australian brands Cotton On Group, APG & Co (Saba, Sportscraft, Willow, JAG), Country Road Group and Pacific Brands all received a commendable B+. The past 12 months have seen some substantial improvements in reported company performance, with APG & Co, Industrie and David Jones being the most significant. APG & Co demonstrated that it had substantially traced back to the inputs stage of its supply chain (it knew who its fabric suppliers were), and that it sourced from predominantly unionised factories for its final stage of manufacturing. Industrie demonstrated that it had significant traceability back to its input suppliers, and that it had begun work to understand what percentage of its factories were currently paying a living wage. David Jones results reflect a strong uptick in investments to improve labour rights, significantly improving traceability and the quality of its auditing and supplier relationships. These three companies are reflective of one of the most welcome trends in the industry - the improved company knowledge of suppliers. Knowing suppliers is critical to a strong labour rights management system. If companies don’t know or don’t care who their suppliers are, then they cannot ensure that workers are not being exploited. In 2013, we found that only half of companies had complete knowledge of who their suppliers were at the final stage of production (the manufacturing or ‘cut, make and trim’ suppliers). This has since increased to 70%. When we focus in on those companies that have been assessed across all three reports, the proportion rises to an impressive 94%. It is clear that the industry is also increasing its efforts to know suppliers deeper into the supply chain. In 2013, 41% of companies had engaged in some effort to know their input suppliers (e.g. where their fabric is produced), this has now increased to 79%. However, there is still much to be done. Only 31% of companies knew more than 75% of their input suppliers, and at the next tier down - at the raw materials level - only 5% of companies knew who all of their suppliers were. Continuing to improve traceability will remain one of the most important challenges for the industry. While inputs and raw materials sit outside the purview of companies, the worst forms of worker rights abuse (including forced and child labour) will continue to remain prevalent in these parts of the supply chain.

2014 - Computer-aided chemical engineering

Combining Supplier Selection and Production-Distribution Planning in Food Supply Chains

Abstract This work addresses an integrated framework for deciding about the supplier selection in processed food supply chains that accounts for tactical production and distribution planning. We are especially concerned with the option of producing with local or mainstream raw materials. The contribution of this paper is two-fold. Firstly, it proposes a new multi-objective two-stage stochastic mixed-integer programming model for the supplier selection that maximizes the profit and minimizes the risk of a low customer service. Secondly, the main complexities of processed food supply chains management are considered: perishability of raw materials and final products, uncertainty at downstream and upstream parameters, and customer willingness to pay. Results indicate that dual sourcing is a strategy to be pursued across several scenarios. The multi- objective approach shows that a small decrease in the expected value of profit results in a significant increase in the customer service. Acknowledging the increase in customers willing to pay for local products is also fundamental.

2016 - Scientia Iranica

Developing fuzzy expert system for supplier and subcontractor evaluation in construction industry

Increasing competition in the global market to gain customer satisfaction and maximize pro tability has been a challenge in the last decade for many construction corporations. In recent years, Supply Chain Management (SCM) has been introduced as one of the most eective approaches in the construction industry literature; further, the rst step in SCM implementation is supplier evaluation and thus nding and resolving its weaknesses. In this regard, this research identi ed the criteria for evaluation of two types of suppliers in the construction industry ( rst, material and equipment suppliers named suppliers, and second, service suppliers named subcontractors) and their fuzzy membership functions, distinctly, through literature review, questionnaire survey, and statistical analysis of expert judgment. Since most of them are linguistic parameters, fuzzy approach through Mamdani's inference mechanism has been utilized to develop a new methodology of fuzzy expert system. Thus, the developed expert system would evaluate and select the subcontractors and suppliers, distinctly, through three main criteria which are Quality, Cost, andWork relations history-timely delivery. The developed system was tested in three major companies and the results revealed signi cant performance improvement of these construction companies.

2012 - Journal of Manufacturing Technology Management

Complex product and supplier interfaces in aeronautics

urpose - The aeronautical industry is a perfect example of a complex product industry characterized by a hierarchically-organized supply chain. The authors can identify four types of supplier interfaces: interactive, translation, specified and standardized ones. The purpose of this paper is to understand the factors explaining the diversification of these relationships between aircraft manufacturers and their suppliers, through the example of Airbus suppliers. Design/methodology/approach - Network analysis (to define the complexity level of aircraft components), data analysis (to characterize the diversity of aircraft suppliers) and a logit model were combined in order to link the supplier interfaces to the complexity of components and to the suppliers' characteristics. Findings - It is shown that the earlier a supplier is involved in the development process, the more responsibility is delegated to him and the more intertwined its relationship is with the prime contractor. Also, it is shown that component complexity plays a major role in a supplier's involvement during the integral design and face-to-face interactions matter greatly during the co-design phases of the products. Research limitations/implications - The research has rather a static perspective covering all the inter-firm relations within Airbus programs at once. By using the same databases, one could look into the evolution of supplier interfaces within the aeronautical supply chain. A dynamic view would provide some evidence regarding the recent restructuring of the supply chain. Originality/value - The originality of the paper comes from the methodology and the use of original data allowing to test in the same analysis the role of the component complexity and the characterization of the suppliers on the form of relationship between the manufacturer and its principal suppliers.

2019 - International Journal of Computer Integrated Manufacturing

Enhancing supply chain resilience using ontology-based decision support system

ABSTRACT Today’s scenario of manufacturing and supply chain is full of uncertainty because of numerous types of disruptions and failures such as fire, storm, machine failure, are a few names. Always supply chain disruptions present disastrous impacts, although probabilities of happening are low. In the recent robust as well as flexible supply chain has captured the focus of researchers in designing a supply chain network with consideration of disruption’s risk. In this work, an ontology-based decision support system is proposed to intensify the supply chain resilience during a disruption. The concept of semantic and ontology is adopted in developing the knowledge base for the entire supply chain network including manufacturing units. Protégé is used for defining the classes and sub-classes along with numerous types of properties and expressed in a rule-based system using semantic web rule language (SWRL). Furthermore, a mixed integer linear programming model with an objective of maximising quantified resilience to fulfil the demand. A hybrid particle swarm optimisation – differential evolution (PSO-DE) is utilised as an optimisation technique for the defined problem. In performing the study, a set of simulated data is formed and then interpreted in the ontology for an optimal selection of recovery activity.

2012 - Journal of Intelligent Manufacturing

Extracting performance rules of suppliers in the manufacturing industry: an empirical study

Performance evaluation of suppliers is increasingly recognized as a critical indicator in supply chain cooperation. Traditional performance evaluation methods have the problems of a simple buy/sell relation and in one’s subjective views between manufacturers and suppliers, and they lack objective automatic evaluation processes in the supply chain considered. Statistical techniques used for evaluation rely on the restrictive assumptions of linear separability, multivariate normality, and independence of the predictive variables. Unfortunately, many of the common models of performance evaluation of suppliers violate these assumptions. The study proposes an integrated model by combining K-means clustering, feature selection, and the decision tree method into a single evaluation model to assess the performance of suppliers and simultaneously tackles the above-mentioned shortcomings. The integrated model is illustrated with an empirical case study of a manufacturer for an original design manufacturer (ODM) to demonstrate the model performance. The experimental results indicate that the proposed method outperforms listed methods in terms of accuracy, and three redundant attributes can be eliminated from the empirical case. Furthermore, the extracted rules by the decision tree C4.5 algorithm form an automatic knowledge system for supplier performance evaluation.

2015 - Production and Operations Management

Managing Supply Disruptions when Sourcing from Reliable and Unreliable Suppliers

We study a manufacturer's optimal multiple-sourcing strategies when some but not all suppliers face risks of complete supply disruptions. Using an approximate model, we show that the optimal unreliable orders are ranked by a simple and intuitive criterion, and are invariant of minor market size changes. Furthermore, when ordering from one reliable and one unreliable supplier, we show that the total order quantity and its allocation between the two suppliers are independent decisions. We then test and confirm the robustness of the insights without the approximation, as well as when we relax various assumptions.

2016 - Journal of Business Economics and Management

Using fuzzy Choquet Integral operator for supplier selection with environmental considerations

The increasing importance of considering environmental issues as a part of the corporate social responsibility, which has environmental and social impacts as well as affects the image and competitiveness of a firm, has encouraged companies to revise their major processes of supply chain management (SCM). Since the performance of a company heavily relies on its suppliers, it is of vital importance to incorporate environmental criteria into supplier selection problem to satisfy both conventional and environmental criteria, which have only been considered by a limited number of studies. Therefore, following a brief review of green supply chain management (GSCM) and sustainable supply chain management (SSCM) concepts and investigation of supplier selection approaches, this study after focuses on a modified Delphi method that has been applied to determine supplier selection criteria. Also, the intuitionistic fuzzy value (IFV) and interval value intuitionistic fuzzy (IVIF) have been utilised for supplier evaluation regarding the subjective nature and uncertainty of judgment. By using the Choquet Integral operator and fuzzy measures, the best supplier has been selected, and the comparison between IFV and IVIF has been made. This methodology has been applied to a manufacturing company to assess the applicability of the proposed methodology. The proposed methodology can be used for real world problems that contain fuzziness or interacting decision criteria. Moreover, due to a high level of expert involvement in the decision-making process, we claimed that the knowledge of experts has been utilised constructively.

1990

Effective library and information centre management

Part 1 Introduction to library and information centre management: an introduction to management strategic influences on modern library and information centre management historical influences on modern management techniques. Part 2 Strategies for understanding the library's or information centre's environment: situation audit. Part 3 Strategies for managerial processes: the corporate planning process human resource planning strategies for human resource development strategies for decision-making competitive strategies - strategic marketing for libraries and information centres. Part 4 Strategies for structural processes: organizatiom structures strategies for the structural co-ordination of libraries and information centres communication in libraries and information centres. Part 5 Strategies for technical effectiveness: managing technologies in libraries and information centres managing expertise in libraries and information centres management information systems in libraries and information centres. Part 6 Strategies for managing the psycho-social environment: group dynamics power, influence, authority and delegation strategies for negotiation leadership strategies motivation issues strategies for managing conflict strategies for managing stress. Part 7 Strategies for managing the goals and values subsystem: corporate culture in libraries and information centres strategies for survival - fostering innovation and entrepreneurship in libraries and information centres. Part 8 Control strategies for libraries and information centres: budgetting and economic analysis performance measures managing change. Epilogue: the final strategy - effective management.

2004 - Statistics Education Research Journal

STRATEGIES FOR MANAGING STATISTICAL COMPLEXITY WITH NEW SOFTWARE TOOLS

SUMMARY New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data, specifically in the context of comparing groups. The two methods we discuss are 1) reducing the apparent variability in a data set by grouping the values using numerical bins or cut points and 2) using proportions to interpret the relationship between bin size and group size. This work is based on our observations of middle- and high-school teachers in a professional development seminar, as well as of students in these teachers’ classrooms, and in a 13-week sixth grade teaching experiment. We conclude with remarks on the implications of these uses of new software tools for research and teaching.

2014 - Comput. Ind. Eng.

Coordinating a three-level supply chain with delay in payments and a discounted interest rate

Both researchers and practitioners recognize the importance of the interactions between financial and inventory decisions in the development of cost effective supply chains. Moreover, achieving effective coordination among the supply chain players has become a pertinent research issue. This paper considers a three-level supply chain, consisting of a capital-constrained supplier, a retailer, and a financial intermediary (bank), coordinating their decisions to minimize the total supply chain costs. Specifically, we consider a retailer managing its cash through the supplier's bank, in return for permissible delay in payments from the supplier. The bank, benefiting from increasing its cash holdings with the retailer's cash deposits, offers the supplier a discount on its borrowing rate. We show that the proposed coordination mechanism achieves significant cost reduction, by up to 26.2%, when compared to the non-coordinated model. We also find that, with coordination, the retailer orders in larger quantities than its economic order quantity, and that a higher return on cash for the retailer leads to a higher order quantity. Furthermore, we empirically validate our proposed coordination mechanism, by showing that banks, retailers, and suppliers have much to gain through collaboration. Thus, using COMPUSTAT datasets for the years 1950 through 2012, we determine the most important factors that affect the behavior of the retailers and suppliers in granting and receiving trade credit. Our results indicate that engaging into such a coordination mechanism is a win-win situation to all parties involved.

2018 - Springer Series in Supply Chain Management

The Impact of Supply Chain Disruptions on Organizational Performance: A Literature Review

This chapter examines the effect of supply chain disruptions on organizational performance. We employ a systematic literature review to identify different conceptualizations and theorizations of supply chain disruptions, and to understand how different types of supply chain disruptions affect organizational performance. We later discuss organizational capabilities (resilience enhancers) that can improve an organizational response to supply chain disruptions. Finally, we outline future research directions in supply chain risk management and supply chain resilience.

2014 - Journal of Purchasing and Supply Management

Supplier evaluation and demand allocation among suppliers in a supply chain

Abstract This paper presents a hybrid algorithm that prioritizes the suppliers and then allocates the demand among the suppliers. The objective here is to maximize the total purchase value of the items taking into consideration budget constraint, demand condition, delivery lead-time and supplier capacity. Since the problem is multi-criteria decision making, we solve this problem by integrating the supplier rating with mixed linear integer programming method. The customer demand is allocated by using a hybrid algorithm based on the technique for order preference by similarity to ideal solution (TOPSIS) and the mixed linear integer programming (MILP) approaches. The effectiveness of the proposed algorithm is validated with computational results. Drawing to a case, a supplier S3 is identified as the best supplier by using the TOPSIS method for demand allocation under no restrictions. On the contrary, under constrained scenario, supplier S2 is selected as the best supplier by using the hybrid algorithm for demand allocation and maximum units are allocated to S2.

1997 - Journal of Contingencies and Crisis Management

Principles for Managing Community Relocation as a Hazard Mitigation Measure

Permanent relocation of communities away from hazard-prone areas is becoming an important mitigation option for emergency management authorities throughout the world. By moving citizens permanently, one realizes two special benefits. First, relocation prevents death or injury from hazards that are minimally subject to human control ‐ that is, where structural mitigation measures are ineffective and forewarning is insufficient for simple evacuation. Secondly, relocation provides monetary saving so that government hazard insurance programs need not pay for repeated restorations of the same residences in the same hazard areas over a period of years. Simultaneously, there are two inherent problems with the use of a relocation policy: it constitutes a serious intrusion into citizens’ lives; and non-hazard related relocations (such as for dam construction or urban redevelopment) have a long history of negative outcomes. This paper traces the history of a community relocation in the southwestern United States, documenting citizen needs and responses to the event. Then, based on the hazards research literature and the case data, a series of principles are elaborated for creating ‘positive’ relocation experiences. In closing, the paper looks at the international use of relocation and the potential for applying the principles.

2002 - Eur. J. Oper. Res.

Strategic commitment versus postponement in a two-tier supply chain

Abstract In this paper the trade-off between strategic commitment and operational flexibility is examined as it arises in a supply chain when a supplier offers competing buyers opportunities to make early purchase commitments for a product with a short life cycle. Traditionally, the use of incentives for early purchase commitments for short life-cycle products has been justified on the basis of a supplier's production lead times or capacity constraints. An alternative explanation has been proposed by offering early purchasing opportunities, a supplier can influence the form of competition in the downstream market. Using a single period model, it has been shown that, below a threshold level of demand uncertainty, the supplier can benefit from providing adequate pricing incentives to entice downstream buyers to commit to purchase quantities before demand information is revealed. Moreover, such early purchasing opportunities can benefit the supplier as well as the buyers even in the absence of production lead times or capacity constraints.

2019 - Int. J. Inf. Manag.

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

Abstract There has been an increased interest in resilient supplier selection in recent years, much of it focusing on forecasting the disruption probabilities. We conceptualize an entirely different approach to analyzing the risk profiles of supplier performance under uncertainty by utilizing the data analytics capabilities in digital manufacturing. Digital manufacturing peculiarly challenge the supplier selection by the dynamic order allocations, and opens new opportunities to exploit the digital data to improve sourcing decisions. We develop a hybrid technique, combining simulation and machine learning and examine its applications to data-driven decision-making support in resilient supplier selection. We consider on-time delivery as an indicator for supplier reliability, and explore the conditions surrounding the formation of resilient supply performance profiles. We theorize the notions of risk profile of supplier performance and resilient supply chain performance. We show that the associations of the deviations from the resilient supply chain performance profile with the risk profiles of supplier performance can be efficiently deciphered by our approach. The results suggest that a combination of supervised machine learning and simulation, if utilized properly, improves the delivery reliability. Our approach can also be of value when analyzing the supplier base and uncovering the critical suppliers, or combinations of suppliers the disruption of which result in the adverse performance decreases. The results of this study advance our understanding about how and when machine learning and simulation can be combined to create digital supply chain twins, and through these twins improve resilience. The proposed data-driven decision-making model for resilient supplier selection can be further exploited for design of risk mitigation strategies in supply chain disruption management models, re-designing the supplier base or investing in most important and risky suppliers.

2015 - Comput. Ind. Eng.

Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey-DEMATEL approach

Constructed causaleffect diagrams among enablers of risk mitigation.Grey theory and DEMATEL have been employed to effectively quantify enablers.One enabler can be the cause/effect of one or more enablers.Steps for instigating causal enablers can in turn initiate effect enablers.Most prominent enablers coming under zone 3 needs imperative attention. Supply chains are becoming perpetually complex and potentially vulnerable due to increased globalization and vertical integration. Supply chain managers are conscious that the success of any supply chain lies in its proficiency to manage risks efficiently and effectively. Supply chain risk management (SCRM) signifies proactive practices of managing vulnerability of supply chains. Various firms espouse strategic level measures for risk mitigation and implement practices for enhancing supply chain resilience. In order to enhance supply chain resilience, the enablers of supply chain risk mitigation need to be acknowledged and implemented into practice. This research emphasizes on ascertaining the major enablers of supply chain risk mitigation with emblematic focus on electronic supply chains. A blend of Grey theory and DEMATEL approaches has been employed in this research to find out cause/effect relationships among the enablers of supply chain risk mitigation. This exercise helps to find which can be the driver to initiate the effects of other driven enablers. Sensitivity analysis was also conducted of the results to ensure reliability of solutions. The results show that that the enablers of supply chain risk mitigation are intertwined and one enabler can be the cause/effect of one or more enablers of supply chain risk mitigation. Dynamic assortment planning is found to be the decisive causal enabler, as it initiates the effects of many other enablers of supply chain risk mitigation, followed by accurate demand forecasting and flexible supply contracts. Causeeffect relationships plotted facilitate managers to ascertain primary causal enablers that need imperative attention in dealing with vulnerability issues of supply chain. Managers can take proactive steps to address and implement primary causal enables of risk mitigation into practice for reducing total risk impacts of the supply chain.

2010 - International Journal of Production Research

Risk adjusted multicriteria supplier selection models with applications

Most manufacturers are continuously seeking their supplier base around the world and look for an opportunity to significantly reduce supply chain costs. Singular emphasis on supply chain cost, however, can make the supply chain brittle and more susceptible to the risk of disruptions. The objective of this paper is to develop multicriteria supplier selection models incorporating supplier risk and apply them to a real company. We develop two different types of risk models, value-at-risk (VaR) and miss-the-target (MtT). We model the risk-adjusted supplier selection problem as a multicriteria optimisation problem and solve it in two phases. Phase 1 is the pre-qualification step, where a large set of initial suppliers is reduced to a smaller set of manageable suppliers using various multi-objective ranking methods. In Phase 2, order quantities are allocated among the short listed suppliers using a multi-objective optimisation model. In the multi-objective formulation, price, lead-time, VaR type risk of disruption due to natural event and MtT type risk of quality are explicitly considered as four conflicting objectives that have to be minimised simultaneously. We solve the multi-objective optimisation problem using four different variants of goal programming. The models are illustrated with an actual application to a global IT company.

2005 - Manag. Sci.

Quality Implications of Warranties in a Supply Chain

We examine a supply chain in which the final product consists of components made by a buyer and a supplier. In the single moral-hazard case, the buyer's quality is observable, whereas in the double moral-hazard case, the buyer's quality is not observable. The supplier's quality is not observable in both the single and double moral-hazard cases. In each case, we examine a warranty/penalty contract between the buyer and the supplier based on information from incoming inspection and external failures. When the warranty contract is based on information from external failures in the single moral-hazard case, the first-best quality is achieved, whereas in the double moral-hazard case, the first-best quality is achieved if the supplier is not held responsible for the buyer's defects. When the warranty contract is based on information from incoming inspection, the first-best is achieved in both the single and double moral-hazard cases, even when the incoming inspection does not identify all of the supplier's defectives. An analysis of whether the penalty on the supplier in each case meets a fairness criterion-that is, the penalty does not exceed the manufacturer's external failure cost-indicates that the fairness criterion is met by the warranty contract based on information from incoming inspection when the first-best incoming inspection is sufficiently high. However, if the first-best incoming inspection is low and the precision of pinpointing the supplier's responsibility for external failure is sufficiently high, the warranty contract based on external failures could satisfy the fairness criterion.

2005

An Empirical Analysis of the Effect of Supply Chain Disruptions on Long‐Run Stock Price Performance and Equity Risk of the Firm

This paper investigates the long-term stock price effects and equity risk effects of supply chain disruptions based on a sample of 827 disruption announcements made during 1989–2000. Stock price effects are examined starting one year before through two years after the disruption announcement date. Over this time period the average abnormal stock returns of firms that experienced disruptions is nearly –40%. Much of this underperformance is observed in the year before the announcement, the day of the announcement, and the year after the announcement. Furthermore, the evidence indicates that firms do not quickly recover from the negative effects of disruptions. The equity risk of the firm also increases significantly around the announcement date. The equity risk in the year after the announcement is 13.50% higher when compared to the equity risk in the year before the announcement.

On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks

Investigating Current Paradigms in Supply Chain Risk Management – A Bibliometric Study

On uncertainty in supply chain risk management

Safety Stock, Excess Capacity or Diversification: Trade-Offs under Supply and Demand Uncertainty

Spare Parts Management of Aging Capital Products

Carrier Portfolio Management for Shipping Seasonal Products

Compensating for Dynamic Supply Disruptions: Backup Flexibility Design

Editorial to the Special Issue on Optimization of Industrial Systems with Market Disruptions

IT-Service-Management – Ein Modell zur Bestimmung der Folgen von Interoperabilitätsstandards auf die Einbindung externer IT-Dienstleister

Ein hierarchischer Ansatz des Risikomanagements zur Gestaltung robuster Liefer- und Transportnetzwerke(A Hierarchical Risk Management Approach for the Design of Resilient Supply and Transport Networks)

Essays on supply risk in global operations

Contingency planning during the formation of a supply chain

Optimal Procurement Strategy under Supply Risk

Performance coordination of the disrupted supply chain with transfer payment

Contingent sourcing under supply disruption and competition

Pacific Asia Conference on Information Systems ( PACIS ) 7-15-2012 Supply Chain Resilience To Mitigate Disruptions : A QFD Approach

RiskVis: Supply chain visualization with risk management and real-time monitoring

Customer Segmentation Strategy of Crowdfunding Platform with Completion Time Uncertainty

Pricing during Disruptions: A Cause of the Reverse Bullwhip Effect

Improving Supplier Compliance Through Joint and Shared Audits

Supplier Diversification Under Buyer Risk