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

Illegal, Unreported and Unregulated (IUU) Fishing: A Whitepaper

Illegal, unregulated and unreported (IUU) fishing refers to fishing activities that do not comply with regional, national, or international fisheries conservation or management measures. This whitepaper characterizes the status of Illegal, unregulated, and unreported fishing, the philanthropic community's current efforts to help reduce it, and potential opportunities for the Packard Foundation to become more actively engaged. The paper was drafted between March and June 2015, following a combination of desk research and a handful of select interviews

Sustainable Sourcing of Global Agricultural Raw Materials: Assessing Gaps in Key Impact and Vulnerability Issues and Indicators.

Understanding how to source agricultural raw materials sustainably is challenging in today's globalized food system given the variety of issues to be considered and the multitude of suggested indicators for representing these issues. Furthermore, stakeholders in the global food system both impact these issues and are themselves vulnerable to these issues, an important duality that is often implied but not explicitly described. The attention given to these issues and conceptual frameworks varies greatly--depending largely on the stakeholder perspective--as does the set of indicators developed to measure them. To better structure these complex relationships and assess any gaps, we collate a comprehensive list of sustainability issues and a database of sustainability indicators to represent them. To assure a breadth of inclusion, the issues are pulled from the following three perspectives: major global sustainability assessments, sustainability communications from global food companies, and conceptual frameworks of sustainable livelihoods from academic publications. These terms are integrated across perspectives using a common vocabulary, classified by their relevance to impacts and vulnerabilities, and categorized into groups by economic, environmental, physical, human, social, and political characteristics. These issues are then associated with over 2,000 sustainability indicators gathered from existing sources. A gap analysis is then performed to determine if particular issues and issue groups are over or underrepresented. This process results in 44 "integrated" issues--24 impact issues and 36 vulnerability issues--that are composed of 318 "component" issues. The gap analysis shows that although every integrated issue is mentioned at least 40% of the time across perspectives, no issue is mentioned more than 70% of the time. A few issues infrequently mentioned across perspectives also have relatively few indicators available to fully represent them. Issues in the impact framework generally have fewer gaps than those in the vulnerability framework

The application of GIS to analyse occupier chains and property market filtering

With funding from the RICS Education Trust, Paul Greenhalgh and Helen King of Northumbria University, UK sought to investigate whether using Geographic Information System (GIS) can enhance the representation and analysis of property occupier chaining data – the method used to analyse the chain of moves that take place when firms occupy new premises. The way that they tested this was by transferring a dataset of office and industrial occupier chains in Tyne and Wear that had been collected by Paul Greehalgh for his PhD study into a GIS to illustrate, measure and analyse the chaining data more effectively than had previously been possible. What they were able to show was that, although the process is time-consuming, it is a relatively straightforward and logical process to translate property occupier chaining data into a GIS. The resultant GIS representation was able to replicate and verify findings of the original research. For example, it confirmed the accuracy of the original calculation of the distances that occupiers move, but it also revealed that the average distance moved diminished the further that they occur along a chain. The team then used rateable value and VAT registration datasets to interpret the origin of occupiers of new office and industrial developments, and the location of vacant chain end property. Of the two, the strongest correlation was with new VAT registrations within a three year period. New VAT registrations are associated with levels of economic activity and enterprise which would generate new businesses or start-ups that would typically take up small office and industrial units, thus absorbing vacant accommodation and contributing to property market filtering. Although the work used the Tyne and Wear region as a practical example, the key objective of the work was to test the applicability and robustness of the approach. As such, the key findings from the work relate as much to the process involved as to any specific insights into the Tyne and Wear region: • The application of GIS to property occupier chaining data was successfully demonstrated and was able, not only to verify the findings of the original research, but was able to extend the breadth and depth of analysis • The GIS was used to produce maps of the Tyne and Wear conurbation, displaying occupier chaining data, to enable further interpretation and analysis • By exploiting existing datasets it was possible to characterise the locations where occupiers relocate from and where property voids persist; this enhances our understanding of the impact of occupier displacement on the dynamics of commercial property markets • a multi-criteria analysis Business Activity Score (BAS) was developed with which to measure the relative performance of Middle Super Output Areas within the conurbation • The property chaining GIS may be used, not only to evaluate previous property market interventions, but also to inform the development of spatial strategies that shape new ones. The detailed and comprehensive investigation of occupier chains, generated by occupiers relocating to new commercial and industrial developments, makes an important contribution to our understanding of the spatial impact of development on local property markets, in terms of the displacement of property occupiers, the operation of property market filtering and the side-effects of public sector intervention in land and property markets

European Information System for Organic Markets (EISFOM QLK5-2002-02400): WP 2: “Data collection and processing systems (DCPS) for the conventional markets” and WP 3: “Data collection and processing systems for organic markets” = Deliverable D2

European markets for organic products are developing fast. In Europe, as other parts of the world, more and more farm land is being converted to organic production. In order to adjust production and consumption levels, detailed market information is needed, especially where decisions with a long-term impact need to be taken, for example on converting specific land or livestock enterprises requiring high levels of investment in glasshouses, housing, processing facilities etc. Since public subsidies (regional / national / European) are heavily involved in these investments, valid, accurate and up-to-date information is essential not only for farmers and growers, but also for policy-makers, consultants, processing industry etc. EU-research projects such as OFCAP (FAIR3-CT96-1794) and OMIaRD (QLK5-2000-01124) have shown that regional or national data gathering takes place in many countries, but often only very basic data are reported, such as certified organic holdings, land areas and livestock numbers. Important market data, e.g. the amount of production, consumption, international trade or producer and consumer prices, do not exist in most European countries. In some European countries there are only rough estimates of the levels of production and consumption. There is no standardization and data are seldom comparable. Furthermore, detailed information on specific commodities is missing. Hence, investment decisions are taken under conditions of great uncertainty. Likewise, if politicians want to support organic agriculture, they do not know whether it would be better to support production or consumption or to address problems in the marketing channel. The EU concerted action EISfOM (QLK5-2002-02400) (European Information System for Organic Markets) is attempting to take the first steps in solving these problems. The aim of this concerted action is to build up a framework for reporting valid and reliable data for relevant production and market sectors of the European organic sector in order to meet the needs of policy-makers, farmers, processors, wholesalers and other actors involved in organic markets. In order to reach this aim, this action was split into several workpackages. This report describes the approach and results of workpackages 2 and 3. In this first chapter the objective and general approach of these work packages are described. Chapters 2 and 3 provide an overview of international statistics and data collection systems within the food supply chain at the public and the private level. Chapter 4 describes national statistics and data collection systems within the food supply chain. In Chapter 5, an analysis and appraisal is made of the results with regard to organic data collection and processing systems (DCPSs) and their integration into existing common DCPSs. Chapter 6 draws several general conclusions. Two substantial annexes complete the report, one with the country reports on the situation of data collection and processing in all investigated countries and the other with the first and the second stage questionnaires covering the different data collection levels

Synthesis and final recommendations on the development of a European Information System for Organic Markets. = Deliverable D6 of the European Project EISfOM QLK5-2002-02400

Executive summary European markets for organic products are growing rapidly, but the market information available in most European countries is woefully inadequate. Often only very basic data such as certified organic holdings and land area are reported, and sometimes not even individual crop areas or livestock numbers. Important market data, such as the amount of production, consumption, international trade or producer and consumer prices, do not exist in most European countries. In some European countries there are only rough estimates of the levels of production and consumption. There is no standardisation and data are seldom comparable. Furthermore, detailed information on specific commodities is missing. Hence, investment decisions are taken under conditions of great uncertainty. Policy evaluation, including periodic monitoring of the European Action Plan for Organic Food and Farming and RDP 2007-2013, will require many other data in addition to those regarding production structures and financial data that are already available, but obtaining this information would require a new EU-wide data collection and processing system (DCPS) to be put in place. The European Information System for Organic Markets (EISfOM) project is an EUfunded Concerted Action which has analysed and documented the current situation and proposed ways in which organic data collection and processing systems (DCPS) can be improved by means of: • improvement in the current situation of data collecting and processing systems for the organic sector • innovation in data collection and processing systems for the organic sector • integration of conventional and organic data collection and processing systems This report summarises the most relevant findings of the EISfOM project, which are analysed in the main project reports: Wolfert, S., Kramer, K. J., Richter, T., Hempfling, G., Lux. S. and Recke, G. (eds.) (2004). Review of data collection and processing systems for organic and conventional markets. EISfOM (QLK5-2002-02400) project deliverable submitted to European Commission. www.eisfom.org/publications. Recke, G., Hamm, U., Lampkin, N., Zanoli, R., Vitulano, S. and Olmos, S. (eds.) (2004a) Report on proposals for the development, harmonisation and quality assurance of organic data collection and processing systems (DCPS). EISfOM (QLK5-2002-02400) project deliverable submitted to European Commission. www.eisfom.org/publications. Recke, G., Willer, H., Lampkin, N. and Vaughan, A. (eds.) (2004b). Development of a European Information System for Organic Markets – Improving the Scope and Quality of Statistical Data. Proceedings of the 1st EISfOM European Seminar, Berlin, Germany, 26-27 April, 2004. Research Institute of Organic Agriculture (FiBL), Frick, Switzerland. www.eisfom.org/publications. Gleirscher, N., Schermer, M., Wroblewska, M. and Zakowska-Biemans, S. (2005) Report on the evaluation of the pilot case studies. EISfOM (QLK5-2002-02400) project deliverable submitted to European Commission. www.eisfom.org/publications. QLK5-2002-02400 European Information System for Organic Markets (EISfOM) D6 final report Rippin, M. and Lampkin, N. (eds.) (2005) Framework for a European Information System for Organic Markets. Unpublished report of the project European Information System for Organic Markets (EISfOM) (QLK5-2002-02400). Rippin, M., Willer, H., Lampkin, N., and Vaughan A. (2006). Towards a European Framework for Organic Market information, Proceedings of the 2nd EISfOM European Seminar, Brussels, November 10 and 11, 2005. Research Institute of Organic Agriculture (FiBL), Frick, Switzerland. www.eisfom.org/publications