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

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

Learning For Life: The Opportunity For Technology To Transform Adult Education - Part II: The Supplier Ecosystem

In fall 2014, Tyton Partners (formerly Education Growth Advisors), with support from the Joyce Foundation, conducted national research on the role and potential of instructional technology in the US adult education field. The objective was to understand the current state of the field with respect to technology readiness and the opportunities and challenges for increasing the use of technology-based instructional models within adult education. The initial publication in the series, "Part I: Interest in and Aptitude for Technology," focused on demand-side dynamics and addressed adult education administrators' and practitioners' perspectives on the role and potential of technology to support their students' needs and objectives. This second publication, "Part 2: The Supplier Ecosystem," highlights market composition and supply-side dynamics, instructional resource use, and opportunities for innovation

Knowledge management: Using a knowledge requirements framework to enhance UK health sector supply chains

The gaps of mismatch both knowledge and understanding of beneficiaries and solution providers at the initial stage of developing projects have led to the failures of many projects including supply chains (SC) and related information technology systems (ITS) projects (Lyytinen and Hirschheim, 1987) . The aims of this paper are first, to address theoretical framework by bridging the gaps of different types of knowledge. Second, to establishing business requirements and the flow of information in supply chains between beneficiaries and solution providers in the long and complicated supply chains of the UK’s Health Sector. On the basis of brief introduction to knowledge, knowledge management and supply chain, the paper presents a practical framework that has been developed through critical and relevant literatures in the above three subject areas. Techniques and Tools stem from both management science and information systems were used to provide a possible solution for the problem in bridging the gaps of mismatch knowledge and understanding at the initial stage of identifying requirements in projects through knowledge sharing and transfer