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An effective supply chain requires a smoothly operating information system. Accurate information must flow among the links in a timely, coordinated fashion, which minimizes distortion. The system must incorporate supply‐and‐demand information, and constantly changing information about real world events that affect the chain. This paper provides a structure for these flows through a data flow diagram (DFD) and with a case study of its application to the Alaskan North Slope Oil (ANS) supply chain. The properties of this DFD are presented for push, pull and hybrid push/pull supply chains. Management can use the DFD approach to improve supply‐chain operations. Information flows can be rationalized and streamlined and feedback loops can be defined to measure performance. IT professionals can apply the generic nature of the DFD to a wide variety of logistics activities, including warehouse and carrier operations.

The purpose of this paper is to study the behaviour of a food supply chain possessing two originalities, i.e. a singular structure (40‐day upstream push and 24‐hour downstream pull) and one that suffers from simultaneous fluctuations in raw material supply capacities (due to epizooty) and customer demand (due to customer anxieties and fears) caused by a sanitary crisis.

A simulation model based on the system dynamics principles of Forrester is developed and applied to the French chicken meat supply chain suffering an Avian Influenza crisis.

This model first enables one us to study the regulation mechanisms of the chain that will improve understanding of the supply chain behaviour under environmental perturbations. A what‐if analysis is then implemented to examine the supply chain stability and the influence of flexibility adjustment times, inventory coverage time, slaughtered chicken buffer size and smoothing policies on the supply chain performance in different crisis fluctuation rate scenarios in order to propose necessary logistic policy enhancements.

This work will improve one's knowledge about the buffer inventory problem and the global stability of this multi‐echelon push‐pull supply chain.

The model can be used as a decision system support which aims to minimise the additional costs due to stock level increases as demand decreases as well as exceptional external purchasing sparked by the lack of available products when there is a sudden hike in demand. The research can help decision‐makers of fresh food push‐pull supply chains when they are facing such crises by using both cybernetic representation and computer simulation.

This study deals with a specific food supply chain within the context of a sanitary crisis. A system dynamics model is presented for studying the behaviour of the entire food supply chain threatened by high uncertainties in the supply capacity as well as in customer demand.

During a crisis situation, a poultry supply chain is faced with high variations on fresh chicken meat demand and has therefore to simultaneously manage excessive shelf-life stocks (in case of falling demand) and external purchases due to inventory shortages. In this case, the production plan is often established according to non-accurate sale forecasts which require ongoing adjustment. The paper aims to discuss these issues.

By using system dynamics, the paper developed a model of the French poultry supply chain during a given avian influenza crisis period. The authors compared exponential smoothing forecasting method to a word-of-mouth diffusion model which makes sense in a sanitary crisis context.

An interesting result shows a complex relationship between the sanitary risk (which increases according to the slaughtered chicken's volume and storage time) and the additional external purchases (in case of low production generated by an insufficient forecasting launched 40 days before customer orders).

Additional costs which vary over time are required for further assumptions testing.

The paper proposes to use a forecasting model which is not currently used by the professionals during a sanitary crisis period. This model is able to simulate an internal dissemination of a call for boycott of meat products (cf. negative word-of-mouth spread).

The problem is how to maintain a less risky but significant buffer size to respond to a supply chain coping with both changes in customers’ demand and instability in production capacity.

Previous researchers have studied push and pull contracts in the single product scenario, although in practice, supply chains often produce and sell multiple products. In a multiproduct scenario, the sales of a product will be influenced by its complements or substitutes, which requires consideration when the supply chain members negotiate contracts. This paper aims to fill this gap by studying push and pull contracts in a supply chain which distributes two products to a market and discusses how the degree of complementarity/substitutability between the two products affects the supplier’s decisions and supply chain efficiency.

The paper uses the model of a single-supplier, single-retailer supply chain which sells a product with a long lead time and another product with a short lead time simultaneously in a market. This research compares the production quantity and supply chain efficiency under a push contract with those under a pull contract.

First, when the two products are complements, the equilibrium production quantity of Product 2 is higher under a pull contract than that under a push contract. Second, a pull contract is found to be optimal for both the supplier’s profit and supply chain efficiency when the two products are complements, while if they are substitutes, then a push contract is the better choice in some situations.

The existing literature discusses push and pull contracts in the single product scenario. The current paper pays attention to the two-product scenario and investigates how the complementarity/substitutability degree between the two products affects the supplier’s decisions and supply chain efficiency.

The paper aims to explore the application of manufacturing postponement in a service setting.

In elaborating on the many key differences between goods and services highlighted in the literature, it has been argued that postponement strategies developed in manufacturing have a potential for improving service performance. The authors then examine the implications of postponement for the service push‐pull boundary and the line of visibility.

A focus on postponement at the service push‐pull boundary enables more activities to be performed in advance. Its benefits include reducing costs and shortening service delivery time. Postponement can also assist service providers in re‐locating the line of visibility to develop a more effective service operation.

While the significant economic benefits of postponement have been documented in manufacturing companies, the literature has also mentioned the potential role of postponement in service. However, very little has been written with respect to the exploitation of the transferability and applicability of postponement to a service setting. In this paper, the authors have explored what value postponement might have to offer for service operations. The application of postponement has a potential for service performance akin to what is expected of a manufacturing organisation.

Supply chain management (SCM) is an integrating philosophy to manage the total flow of materials, information and finance from supplier to ultimate customer. The goal of SCM is to meet the needs of the final consumer by supplying the right product at the right place, time and price. Companies use SCM as a way to meet the competitive challenges of today's business environment. The focus of SCM has shifted from engineering efficient functional processes to the co‐ordination of activities in a supply chain network. The aim of this paper is to examine the stages in the evolution of the supply chain to an electronic supply chain. To illustrate and support the types of evolutionary progress involved, best practices and case studies are provided and analysed.

The paper reports a comprehensive review of supply chain performance measurement systems and raises a set of research issues leading to selected research questions.

The articles which have been published in selected peer‐reviewed international journals in the last ten years were collected by using databases Scopus and ISI Web of Knowledge. The articles were scrutinized based on authors' perspective analysis (using supply chain measures and metrics, and enhancing supply chain performance as the key perspectives). The articles contributing significantly in the domain of supply chain measures and metrics were selected for final review and various issues were identified.

The paper argues that, despite considerable evidence from the literature in supply chain performance measurement in recent years, there is a large scope for research to address the issues in supply chain performance measurement, including: characteristics of measures and metrics, benchmarking of measures, use of management practices, integration and partnership and socio‐environmental relevance.

The insights deduced in the paper are primarily based on 28 articles selected for critical review and analysis in the domain of supply chain measures and metrics and hence should be interpreted only as key concerns in the area.

The paper reports an evaluation of 28 key articles reported in the domain of supply chain performance measurement and indicates the research opportunities in the area.

This paper seeks to propose a managerial decision framework for different levels of supply chain, by addressing the strategic importance of competence values in supply chain effectiveness.

A conceptual framework for supply chain effectiveness is defined in levels of supply chain targets, knowledge management dynamics, competence levels and competence success attributes. Analysis of literature in the areas of competence management, knowledge management, supply chain and value chain management resulted in defining the factors of the model. Surveys of industrial practices were used to validate the choice of factors. The analytical network process (ANP) is used to determine the most beneficial competence success attributes in a case study performed for three companies that participate in different stages of the textile supply chain.

Individual competence in continuous learning and networking, as well as innovativeness of the team are found to be the three most important competence attributes in supply chain effectiveness.

The case study is executed in the regional textile industry. New case studies in other industries will help improve the framework. Further international surveys can improve the detail level of factors used.

The study creates awareness of knowledge management dynamics and competence management for companies which are in need of innovation to improve their supply chain competitiveness.

The proposed decision framework is one of the first efforts to consider the importance of competence in supply chain success. The ANP method is used to offer an accurate analysis of interdependent factors observed in management of knowledge dynamics and competence levels.

The purpose of this paper is to identify the importance of integration of supply chain management practices with total quality management (TQM) practices to augment business performance. The objective of paper is to focus on the two important dimensions, namely, supply chain and TQM of an organization with special reference to the concepts: exploration and exploitation.

In total, 20 variables have been identified (independent variables) which impact business performance (dependent variable). Variables have been extracted into four categories with a combination of two orientations, i.e., exploitation and exploration, with respect to quality management and supply chain practices.

Configurationally four different combinations concerning supply chain and TQM were identified in which an enterprise can operate. This is supported with the four different case studies.

This study leads to some interesting practical implications for practicing managers as it offers a framework in which the supply chain and TQM practices can be implemented with respect to an organizational structure (mechanistic or organic structure), environmental conditions (uncertain environment and rapidly changing product life cycle) and identification of customer orientations (whether customer is price sensitive or customer makes buying decision on account of trust or relation to the product).

The concept of supply chain exploitation and supply chain exploration with different orientations of quality management is not studied comprehensively before. This paper provides a background for establishing a framework of strategies for supply chain and quality practices, with respect to the exploitation and exploration scenario.

This paper aims to explore avenue where suppliers and manufacturers are aligned with health-care providers to improve supply chain visibility. Supply chain finance is explored to link suppliers/manufacturers with health-care providers.

Existing literature on supply chain visibility in health care forms a basis to achieve the study purpose. Alignment calls also for financial health where supply chain partners’ working capital is readily available to execute joint supply chain plan.

There is a disjoint in supply chain alliance between suppliers/manufacturers and providers where providers are unable to trace the origin of supplies. Quality care suffers and cost of care rises as providers search for supplies on an emergency basis. This paper provides a framework where solution can be formulated.

Suppliers/manufactures form a direct strategic alliance with providers where product visibility enables health-care providers with a better patient management with lower cost of supplies. Inventory management and logistics cost will be lowered as better planning/forecasting is in place. This paper does not call for testing any hypothesis. Perhaps, next move along this line will be to investigate financial health of supply chain partners based on supplier relationship management practices.

This paper proposes health-care supply chain as an alternative solution to achieve the following twin purposes: controlling the cost while improving quality of care through supply chain finance. As far as we know, this study is the first attempt to achieve the goals.