Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting multiobjective optimization (MOO) techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted and future research directions to better exploit the decision support capabilities of MOO are proposed

Decision support for build-to-order supply chain management through multiobjective optimization

This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.This paper aims to identify the gaps in decision-making support based on multiobjective optimization (MOO) for build-to-order supply chain management (BTO-SCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting MOO techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted. Future research directions to better exploit the decision support capabilities of MOO are proposed. These include: reformulation of the extant optimization models with a MOO perspective, development of decision supports for interfaces not involving manufacturers, development of scenarios around service-based objectives, development of efficient solution tools, considering the interests of each supply chain party as a separate objective to account for fair treatment of their requirements, and applying the existing methodologies on real-life data sets.Brunel Research Initiative and Enterprise Fund (BRIEF

The impact of labels on the competitiveness of the European food label supply chain

The report studies the impact of private labels on the competitiveness of the European food processing industry and investigates whether a system of producer indication may improve the functioning of the food supply chain. The impact is studied using economic theory and empirical and legal analysis. The study is completed with an impact assessment

Economics of Change in Market Structure, Conduct, and Performance The Baking Industry 1947-1958

Baking is one of the largest industries in the United States. Its sales, which exceed $4 billion annually, rank it third among the food processing industries, and thirteenth among all manufacturing industries. Bakery products account for nearly$1 out of every $10 spent by American consumers for food. Almost half of the domestic consumption of wheat flour is in the form of bread, rolls, cake, pie, doughnuts, sweet goods, and other perishable bakery products. While this study encompasses the perishable bakery products industry as defined by the U.S. Census Bureau, it focuses primarily on wholesale markets for white bread. Since World War II, important changes have occurred in the bread baking industry. A decline in the per capita demand for bread products coupled with changes in technology and costs has affected the relationships between baking companies, their market behavior, and the resulting level of efficiency and price performance. In an industrial economy, the farming, milling, baking, retailing, and consuming functions are integrally related. Changes in the organization and practices in one may induce changes in others. The baking industry occupies a strategic position in this process, and as a result, consumers, farmers, millers, and retailers, as well as bakers themselves, have a vital interest in the way the baking industry performs. Changes in market structure and firm behavior in the baking industry have been the subject of study and concern by several interested individuals and groups. The U.S. Department of Agriculture has followed with increased concern the widening of the market margin and the declining farmer share of consumer bread prices. The Senate Agricultural Committee has completed a study of average cost and returns of bakery operations.The Federal Trade Commission has followed the pricing practices of many baking companies with frequent cease and desist orders. I\u3e The Justice Department, through periodic prosecutions, has kept baking firms aware of the limitation imposed by the antitrust laws. The Senate Subcommittee on Antitrust and Monopoly has studied the impact of discriminatory pricing by large baking companies on small independent bakers.7 The industry has encouraged economic study of the historic development of baking and changes in market organization and practices.s Most recently, the F.T.C. studied buyer concentration and the integration of retail grocery organizations into baking and other food processing industries

A taxonomy of logistics innovations

In this paper we present a taxonomy of supply chain and logistics innovations, which is based on an extensive literature survey. Our primary goal is to provide guidelines for choosing the most appropriate innovations for a company, such that the company can outrun its competitors. We investigate the factors, both internal and external to the company, that determine the applicability and effectiveness of the listed innovations. We support our suggestions with real world cases reported in literature

Does vertical integration reduce investment reluctance in production chains? An agent-based real options approach

This paper uses an agent-based real options approach to analyze whether stronger vertical integration reduces investment reluctance in pork production. A competitive model in which firms identify optimal investment strategies by using genetic algorithms is developed. Two production systems are compared: a perfectly integrated system and a system in which firms produce either the intermediate product (piglets) or the final product (pork). Simulations show that the spot market solution and the perfectly integrated system lead to a very similar production dynamics even with limited information on production capacities. The results suggest that, from a pure real options perspective, spot markets are not significantly inferior to perfectly integrated supply chains.real options, supply chain, agent-based models, genetic algorithms, Agribusiness, Agricultural and Food Policy, Agricultural Finance, Institutional and Behavioral Economics, Productivity Analysis,