- Research Article
- 10.1287/opre.1100.0901
Contributors
- Dec 01, 2010
- Operations Research
Contributors
Sue Abdinnour (“ Hawker Beechcraft Uses a New Solution Approach to Balance Assembly Lines ”) is a professor of operations management and holds the Verne and Helen Omer Professorship in Business in the W. Frank Barton School of Business at Wichita State University. Her work has been published in journals such as Decision Sciences, International Journal of Production Research, European Journal of Operational Research, and the Annals of Operations Research. Sue engages in consulting that assists companies in modeling their processes and improving their operations. She has won several research and teaching awards during her career. Marc Albers (“ Optimizing Railway Crew Scheduling at DB Schenker ”) works as a consultant for Bayer Business Services. Prior to joining Bayer he worked at the University of Cologne, where he received his doctoral degree. His fields of interest include crew scheduling, supply chain management, and business intelligence. Jude Buquid (“ HD Supply Facilities Maintenance Uses Diluted Discounts to Optimize Purchasing Opportunities ”) is the director of inventory management and logistics planning at HD Supply Facilities Maintenance. He has more than 15 years of experience across the supply chain in duties that include outbound fulfillment and freight cost optimization, applying academic theory to the realities of modern inventory management, and striking the right balance of speed and cost at which products can be delivered. He is currently focused on optimizing the company's network footprint from an inventory perspective as well as developing strategies to increase throughput through distribution centers. He holds a BS in logistics and economics from the University of Maryland at College Park and an MSBA in finance from San Diego State University. Philip Hans Franses (“ Averaging Model Forecasts and Expert Forecasts: Why Does It Work? ”) is professor of econometrics and professor of marketing research, both affiliated with the Erasmus School of Economics. His research interests concern marketing, empirical finance, applied econometrics, and forecasting. He publishes on these topics in a variety of academic journals including Interfaces, the Journal of Marketing Research, and the Journal of Econometrics. Currently he serves as the Dean of the Erasmus School of Economics, serving 5,000 students and 400 staff. Kevin C. Furman (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) has been a leader of various programs and teams related to optimization and logistics research and software application development across multiple ExxonMobil affiliates. He received his PhD in chemical engineering from the University of Illinois at Urbana–Champaign. His eight years at ExxonMobil have focused on research, development, and leadership in the areas of OR and process systems engineering. David Gibson (“ HD Supply Facilities Maintenance Uses Diluted Discounts to Optimize Purchasing Opportunities ”) is the manager of logistics planning at HD Supply Facilities Maintenance and has been working within the field of operations and inventory management for the past seven years. His areas of expertise include process improvement, working capital optimization, and distribution center slotting efficiency. He is a leader in reshaping the corporate culture at HD Supply Facilities Maintenance by demonstrating innovative ways that data can be used to make decisions. He is a graduate of San Diego State University and holds a BS in financial services. Knut Haase (“ Optimizing Railway Crew Scheduling at DB Schenker ”) is a professor in the School of Business, Economics, and Social Sciences at the University of Hamburg. He received his PhD and his habilitation at the University of Kiel. His current research areas focus on crew scheduling, discrete choice models, line planning, pilgrim scheduling, and revenue management. Paul Huppert (“ HD Supply Facilities Maintenance Uses Diluted Discounts to Optimize Purchasing Opportunities ”) received his degree in business administration from San Diego State University. He is a supply chain manager for HD Supply. He has over 12 years experience in real-world inventory optimization including the implementation of supply chain systems that support the function. He is certified by the Institute of Business Forecasting as a Professional Forecaster. Silke Jütte (“ Optimizing Railway Crew Scheduling at DB Schenker ”) is a research assistant in the Department of Supply Chain Management at the University of Cologne. She has studied business mathematics at the University of Kaiserslautern and worked as a process manager at DHL. She is writing her PhD thesis in the field of crew scheduling. Gary R. Kocis (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) is a senior technologist with ExxonMobil Research and Engineering Company, presently working in the supply chain optimization field. During his 10 years with ExxonMobil, he has developed and applied optimization-based solutions to refinery planning and scheduling, and logistics optimization. He has 22 years of experience as a mathematical programming practitioner, having worked in systems development for Shell Oil Company and the ROMeo online optimization tool for Invensys. Michael K. McDonald (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) is an ExxonMobil Global feedstocks trader. He has been trading refining intermediates and products, and natural gas for 15 years. Jin-Hwa Song (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) leads optimization research at Corporate Strategic Research, ExxonMobil Research and Engineering Company. He received his PhD from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Since joining ExxonMobil, he has been working on various projects related to optimization and decision science, as well as science-build research programs with several universities. Ulrich W. Thonemann (“ Optimizing Railway Crew Scheduling at DB Schenker ”) is a professor in the Department of Supply Chain Management at the University of Cologne. He received his PhD from Stanford University and worked as a management consultant at McKinsey & Company. His current research areas focus on crew scheduling, inventory optimization, and behavioral operations. Joris van de Klundert (“ ANWB Automates and Improves Service Personnel Dispatching ”) holds an MSc in computer science from Erasmus University Rotterdam and a PhD in OR from Maastricht University. He has served as the founding director of Mateum, a Maastricht University spin-off delivering OR-based software and consultancy services. After being appointed professor of value chain optimization at Maastricht University, he returned to Erasmus University Rotterdam in 2009 to chair the Department of Health Services Management and Organisation. His main research interests are in the contributions of management science to networks of health-service organizations. Peter van Huigenbosch (“ ANWB Automates and Improves Service Personnel Dispatching ”) is trained as a military officer and holds a bachelor's degree in automotive mechanics. He has worked in various positions at ANWB since 1992. He became involved in dispatch services while doing his MBA, which he earned in 2003. He is logistics manager at ANWB responsible for all supporting departments involved in assisting 1,250,000 stranded motorists annually. Philip H. Warrick (“ Feedstock Routing in the ExxonMobil Downstream Sector ”) is a Distinguished Engineering Associate with ExxonMobil Research and Engineering Company. He is responsible for the supply chain technology team. His 30-year career at ExxonMobil has concentrated on the downstream of the oil business, including responsibilities for supply, transportation and refinery operations and planning, cargo trading, and the development and application of optimization technology to refining and logistics. Laurens Wormer (“ ANWB Automates and Improves Service Personnel Dispatching ”) holds an MSc in OR from Maastricht University. He works for Mateum, a company providing advanced planning and optimization solutions for complex and innovative business processes. His main interests lie in developing decision support systems with state-of-the-art OR techniques that improve customer satisfaction and operational efficiency in health, home-care, and service organizations.
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Speculative Art Histories
A 'counter-discourse' of speculative approaches to art historySituated at the interface of philosophy, aesthetics and art history, this collection brings together a series of creative responses to the recent speculative turn in Continental philosophy. It gives you both a genealogy of speculative art history and a provocatively experimental counter-discourse of new speculative art histories.The contributors include philosophers, art historians, architects and art practitioners who go beyond the mere complementarity of philosophy and art history. They are generous with the types of art they examine, including architecture, cinema, dance and new media, and the philosophical trajectories they engage with.Published in association with Witte de With Center for Contemporary Art, RotterdamContributorsArmen Avanessian, Free University Berlin, Germany. Erik Bordeleau, Concordia University, Montreal, Canada. Adi Efal, University of Cologne, Germany. Francis Halsall, National College of Art and Design, Dublin, IrelandFleur Courtois-l'Heureux, National Fund for Scientific Research, ULB and INSAS, Belgium. Bram Ieven, Leiden University, Netherlands. Vlad Ionescu, University of Hasselt, Belgium. Sarah Kolb, University of Art and Design in Linz and Academy of Fine Arts in Vienna, Austria.Bertrand Prévost, University of Bordeaux, France. Andrej Radman, TU Delft, Netherlands. Elisabeth von Samsonow, Academy of Fine Arts, Vienna, Austria.Lars Spuybroek, Georgia Institute of Technology, Atlanta, USA. Kerstin Thomas, Johannes Gutenberg-University in Mainz, Germany. Sjoerd van Tuinen, Erasmus University Rotterdam, Netherlands. Kamini Vellodi, Kingston University, London, UK.
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Focus on Authors
Contributors
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Supply-demand integrated management model for effective farmer-buyer coordination: case of the Hawaii avocado industry
The paper presents possible solutions to small farmers in the agricultural sector in a small island setting grappling with challenges of enhancing their local industry and import substitution through a supply-demand chain framework. In 2005, Hawaiian farms produced approximately 363,200 kg of avocados. However, Hawaiian demand for these fruits required an additional 908,000 kg of avocados that were supplied through imports. At the same time, it is worth noting; almost 49% of locally produced avocados did not reach the market. These facts clearly suggest inefficiencies in the local avocado supply chain. Review of the literature on supply chain management suggests a sustainable avocado industry requires an integrated supply and demand chain management system. Hence, a modified conceptual model of supply-chain management called the Supply Demand Integrated Management (SDIM) model is proposed in this paper. Traditional supply chains contain three functional components: supply coordination, physical production and logistic management. In the new model, we propose adding R4D (Research for Development), a public good provided by the government to agricultural industries as an integral part of the supply-demand chain system. It articulates the significance of research and supply chain partnerships between small growers, industry groups, and public agencies. A well-integrated demand/supply chain in the avocado industry allows sharing of vital market information which can contribute to long-term strategic decisions that help local avocado growers increase their competitiveness against foreign imports. It also provides metrics in terms of consumer satisfaction, profitability, competitiveness, self-sufficiency, import substitution and sustainability. The SDIM model as applied to the avocado industry suggests two hypotheses relevant to the current situation. The hypotheses are: (1) There is a lack of coordination between what the farmers are growing and the chefs' (a high-end customer/buyer) preferences; (2) Forming an avocado farmer cooperative will enhance the profitability of local farmers. Survey data was collected from Hawaiian chefs and avocado farmers. Data was analysed using a Duncan multi-range test and a mathematical model, respectively, to test the hypotheses. The test revealed a lack of coordination between what the farmers are growing and buyer preferences. The results from the mathematical model suggested that formation of an avocado marketing cooperative would enhance the profitability of local farmers. Thus, the SDIM framework expands existing body of knowledge about supply chain management and provides useful information to local avocado growers that can help strengthen their supply and demand chain management.
Read moreSupply Chain and Logistics Operations Management Under the Era of Advanced Technology
Implementation and adoption of new technologies are gaining the result of smooth supply chain and logistics operations. Internet of things (IoT) artificial intelligence, including data mining, intensified in all fields of life, particularly in supply chain management and operations. Blockchain technology has the capability to reform the supply chain and logistics operations management. Blockchain provides digital database solutions for all transactions across supply chain and operations management. Radio frequency identification device (RFID) is also helping technology transmit electromagnetic waves to radio-compatible integrated circuits to look after and manage the entire supply chain and logistics operations management. The Fourth Industry Revolution 4.0 refers to the automation, interconnectivity, machine learning, and real-time data that help supply chain and logistics operations management in the 21st century.
Read moreRisk Management: Rethinking Fashion Supply Chain Management for Multinational Corporations in Light of the COVID-19 Outbreak
Through an international business risk management lens, the widespread and catalytic implications of the 2020 COVID-19 pandemic on the supply chains (SCs) of fashion multinational corporations (MNC) are analyzed to contribute to existing research on supply chain management (SCM). While a movement towards agile, networked supply chain models had been in consideration for many firms prior to the outbreak, the pandemic highlights issues inherent in supply chains that employ concentrated production. We examined the current state of fashion supply chains, risks that have arisen historically and recently, and existing risk mitigation methods. We found that while lean supply chain management is primarily favored for its cost and waste reduction advantages, the structure is limited by the lack of supply chain transparency that results as well as the increasing demand volatility observed even before the COVID-19 outbreak. Although this problem might exist in the agile supply chain, agile supply chains combat this by focusing on enhancing communication and buyer-supplier relationships to improve information exchange. However, this structure also entails an associated increase in inventory and inventory costs. The COVID-19 pandemic has caused supply and demand disruptions which have resonating effects on supply chain activities and management, indicating a need to build flexibility to mitigate epidemic and demand risks. To address this, several strategies that firms can adopt to control for such risks are outlined and key areas for further research are identified which consider parties both upstream and downstream of the fashion supply chain.
Read moreTeaching supply chain and logistics management through commercial software
PurposeThe purpose of this paper is to describe the development and teaching of graduate courses providing in‐depth experiential learning employing commercial supply chain management software. The benefits of teaching such courses are described, the challenges in offering such courses are identified, and some solutions to overcome the challenges are offered.Design/methodology/approachThe experiences of the authors in developing and teaching supply chain management courses utilizing commercial software provided a basis for discussing the benefits and challenges associated with teaching students the management of modern supply chains using commercial decision‐support software.FindingsIncorporating commercial software in university programs presents a myriad of challenges and therefore is rarely done. However, providing students with in‐depth knowledge of commercial logistics and supply chain management software improves their understanding of supply chain issues and provides a key differentiator in the marketplace. Modeling real‐world supply chains using commercial software enhances student's education by providing relevant experiential exposure to real‐world problems and decision‐support tools.Originality/valueThe observations of the authors in developing and teaching courses in supply chain management utilizing commercial software afford a unique viewpoint and roadmap for others regarding teaching supply chain management in academic environments.
Read moreMonitoring and controlling of supply chain processes: Supply Chain Control Tower conception and application in retail company
Nowadays, when the market is developing itself dynamically and the customer requirements are higher and higher, traditional way of supply chain management is not enough. Complexity of supply chain is still increasing, because of globalization - companies spread their geographical range in order to find better sources of raw materials, half finished products and finished products. What is more they also want to gain access to new markets and acquire new customers. And last but not least, companies want to strengthen their competitive position and increase income. All these challenges make that companies are forced to change way of functioning and management of supply chain. Supply chain visibility is a key to success, which provides speed, reliability and flexibility. In the response for all these needs more and more often Supply Chain Control Towers are launched. It is kind of center of supply chain management. Thanks to appropriate technology company has an access to all important data in real time - it guarantee visibility, which is such important. What is more, it also help to make all crucial decision, both short and long term. This article present Supply Chain Control Tower conception and show opportunities, how to apply this idea in retail company.
Read more<title>Coordinated supply chain dynamic production planning model</title>
Coordination of different and often contradicting interests of individual supply chain members is one of the important issues in supply chain management because the individual members can not succeed without success of the supply chain and vice versa. This paper investigates a supply chain dynamic production planning problem with emphasis on coordination. A planning problem is formally described using a supply chain kernel, which defines supply chain configuration, management policies, available resources and objectives both at supply chain or macro and supply chain member or micro levels. The coordinated model is solved in order to balance decisions made at the macro and micro levels and members' profitability is used as the coordination criterion. The coordinated model is used to determine inventory levels and production capacity across the supply chain. Application of the coordinated model distributes costs burden uniformly among supply chain members and preserves overall efficiency of the supply chain. Influence of the demand series uncertainty is investigated. The production planning model is a part of the integrated supply chain decision modeling system, which is shared among the supply chain members across the Internet.
Read moreКОМПЛЕМЕНТАРНІСТЬ СТРАТЕГІЙ МАРКЕТИНГУ ТА ЛОГІСТИКИ В ЛАНЦЮГУ ПОСТАВОК ТОВАРІВ ПОВСЯКДЕННОГО ПОПИТУ
КОМПЛЕМЕНТАРНІСТЬ СТРАТЕГІЙ МАРКЕТИНГУ ТА ЛОГІСТИКИ В ЛАНЦЮГУ ПОСТАВОК ТОВАРІВ ПОВСЯКДЕННОГО ПОПИТУ