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Supply chain management

About: Supply chain management is a research topic. Over the lifetime, 39055 publications have been published within this topic receiving 1082949 citations. The topic is also known as: SCM.


Papers
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Journal ArticleDOI
TL;DR: In this article, a case study describes the evolution of supply chain partnerships in the British beef industry, driven by changing consumer demand, food safety legislation, a concentrated and highly competitive retail sector and the BSE crisis.
Abstract: This case study describes the evolution of supply chain partnerships in the British beef industry, driven by changing consumer demand, food safety legislation, a concentrated and highly competitive retail sector and the BSE crisis. The case examples demonstrate the importance of establishing trust in supply chain partnerships, breaking out of the spot trading environment which characterises commodity markets and focusing explicitly on value added initiatives as a source of differentiation and competitive advantage.

235 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a set of new port performance indicators that measure lean port performance and sustain the subsequent development of agile ports, besides considering quantitative aspects, will also focus on qualitative issues as they bring increasing visibility within the port environment and along the transport chain.

235 citations

Journal ArticleDOI
TL;DR: In this paper, the authors conducted approximately 50 structured interviews at each of two points in time to understand the motivations, resistors, enablers, and outcomes of collaboration in the supply chain.
Abstract: Supply chain collaboration is a vital dynamic capability — one that can deliver differential performance. Yet, few managers comprehend the nuanced complexities involved in assessing heterogeneously dispersed resources and bringing complimentary competencies together up and down the supply chain. As a result, gains from collaborative initiatives are often disappointing. Several literature streams including systems design, competency development (e.g., resource-based view and relational view), and change management predict these outcomes. Building on insights from the literature, we sought to enrich theory of collaboration via inductive, interview-driven research. Specifically, we conducted approximately 50 structured interviews at each of two points in time. Rigorous analysis of the interview firms' experience with collaborative initiatives provided insight into the motivations, resistors, enablers, and outcomes of collaboration. These insights form the foundation for a theoretical model to explain collaboration successes and failures as well as to provide prescriptions for using collaboration to achieve differential firm and supply chain performance.

235 citations

BookDOI
01 Jan 2004
TL;DR: In this paper, a risk analysis framework for marine transport of packaged dangerous goods is presented, based on the Brindley-Ritchie risk model, with a focus on customers.
Abstract: Contents: Research Frameworks: Introduction, Clare Brindley and Bob Ritchie Categorization of supply chain risk and risk management, Andreas Norrman and Robert Lindroth Risk characteristics of the supply chain - a contingency framework, Bob Ritchie and Clare Brindley Risk management in supplier relationships and networks, Jukka Hallikas and Veli-Matti Virolainen Risk focus towards customers, Clare Brindley Supply chain risk management, Ulf Paulsson. Techniques and Applications: Examining risk and supply chain collaborative working in the UK construction industry, Simon A. Burtonshaw-Gunn Early supplier involvement as a tool for reducing supply risk, George A. Zsidisin and Michael E. Smith A risk analysis framework for marine transport of packaged dangerous goods, Arben Mullai Outsourcing advanced logistics: shipper's and provider's perspective on risks, Dan Andersson and Andreas Norrman Effective practices and tools for ensuring supply continuity, George A. Zsidisin, Gary L. Ragatz and Steven A. Melnyk Conclusion, Bob Ritchie and Clare Brindley Index.

235 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the impact of scheduled ordering policies on supply chain demand variability in a model with one supplier and N retailers that face stochastic demand and find that the supplier's demand variance will decline as the retailers' order interval is lengthened or as their batch size is increased.
Abstract: This paper studies supply chain demand variability in a model with one supplier and N retailers that face stochastic demand. Retailers implement scheduled ordering policies: Orders occur at fixed intervals and are equal to some multiple of a fixed batch size. A method is presented that exactly evaluates costs. Previous research demonstrates that the supplier's demand variance declines as the retailers' order intervals are balanced, i.e., the same number of retailers order each period. This research shows that the supplier's demand variance will (generally) decline as the retailers' order interval is lengthened or as their batch size is increased. Lower supplier demand variance can certainly lead to lower inventory at the supplier. This paper finds that reducing supplier demand variance with scheduled ordering policies can also lower total supply chain costs.

235 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20245
20231,181
20222,172
20211,739
20201,945
20191,916