Nested Partitions for Large-Scale Optimization in Supply Chain Management

Author(s):  
Weiwei Chen ◽  
Leyuan Shi
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Heather Lutz ◽  
Laura Birou ◽  
Joe Walden

PurposeThis paper aims to provide the results of a survey of courses dedicated to the field of supply chain management in higher education. This research is unique because it represents the first large-scale study of graduate supply chain management courses taught at universities globally. Design/methodology/approachContent analysis was performed on each syllabus to identify the actual course content: requirements, pedagogy and content emphasis. This aggregated information was used to compare historical research findings in this area, with the current skills identified as important for career success. This data provides input for a gap analysis between offerings in higher education and those needs identified by practitioners. FindingsData gathering efforts yielded a sample of 112 graduate courses representing 61 schools across the world. The aggregate number of topics covered in graduate courses totaled 114. The primary evaluation techniques include exams, projects and homework. Details regarding content and assessment techniques are provided along with a gap analysis between the supply chain management course content and the needs identified by APICS Supply Chain Manager Competency Model (2014). Originality/valueThe goal is to use this data as a means of continuous improvement in the quality and value of the educational experience on a longitudinal basis. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of supply chain management courses and curricula in academia, as well as training, development and recruitment efforts by professionals in the field of supply chain management.


Author(s):  
Marcus Tanque ◽  
Harry J Foxwell

Big data and cloud computing are transforming information technology. These comparable technologies are the result of dramatic developments in computational power, virtualization, network bandwidth, availability, storage capability, and cyber-physical systems. The crossroads of these two areas, involves the use of cloud computing services and infrastructure, to support large-scale data analytics research, providing relevant solutions or future possibilities for supply chain management. This chapter broadens the current posture of cloud computing and big data, as associate with the supply chain solutions. This chapter focuses on areas of significant technology and scientific advancements, which are likely to enhance supply chain systems. This evaluation emphasizes the security challenges and mega-trends affecting cloud computing and big data analytics pertaining to supply chain management.


2022 ◽  
pp. 95-110
Author(s):  
Doni Maryono ◽  
Rita Ambarwati

The pandemic has an impact on almost all sectors of people's lives, in the economic, political, and socio-cultural sectors. The government has implemented large-scale social restrictions (PSBB) as an effort to stop the spread of the COVID-19 virus. With the PSBB, it causes disruption to the hospital supply chain management. As a step to anticipate the hospital's impact on the PSBB, the hospital needs to evaluate the performance of supply chain management. The purpose of this chapter is to describe the performance evaluation of hospital supply chain management using a balanced scorecard approach. A new finding from this study is to measure the performance of hospitals experiencing various disruptions in their supply chain management caused by the COVID-19 pandemic with a balanced scorecard. The author concludes that measurements with the balanced scorecard approach can provide information about the performance of hospital supply chain management broadly in areas experiencing disruption due to the COVID-19 pandemic.


2020 ◽  
Vol 12 (4) ◽  
pp. 1688 ◽  
Author(s):  
Theo Notteboom ◽  
Larissa van der Lugt ◽  
Niels van Saase ◽  
Steve Sel ◽  
Kris Neyens

Green supply chain management (GSCM) can be defined as the integration of environmental concerns into the inter-organizational practices of supply chain management (SCM). This paper analyzes the role of seaports in the greening of supply chains in two ways. First, the fields of action to pursue GSCM objectives in ports are identified and grouped. The proposed typology includes five groups of actions, i.e., green shipping; green port development and operations; green inland logistics; seaports and the circular economy; and, actions in the field of knowledge development and information sharing. In the empirical part of the paper, this typology is used to analyze green actions and initiatives developed by market players and port authorities in the Rhine–Scheldt Delta, the leading European port region in cargo throughput terms. This structured overview of green actions and initiatives shows that these ports are hotbeds for GSCM initiatives, but progress in some areas remains slows. The second part of the analysis focuses on the attitudes and perceptions of port-related actors towards the greening of port-related supply chains. A large-scale survey conducted in the Belgian and Dutch logistics and port industry reveals that greening has been put massively on the agenda by the firms between 2010 and now. The results give a clear view on the diverse drivers and impediments towards the greening of supply chains. In addition, one can still see a gap between words and actions. The survey further points to the role of governments as catalysts or soft enforcers for change, and calls for continuity and coherence in government policy. This paper is the first study providing a comprehensive analysis on initiatives, approaches, and perspectives of port-related actors in a specific multi-port region.


Author(s):  
Krystel K. Castillo-Villar

Bioenergy has been recognized as an important alternative source of energy. The production of bioenergy is expected to increase in the years to come, and one of the most important obstacles in increased bioenergy utilization are the logistics problems, which involve complex and large-scale optimization problems. Solving these problems constitutes a daunting task, and often, traditional mathematical approaches fail to converge to the optimal solution within a reasonable time. Thus, more robust methods are required in order to overcome complexity. Metaheuristics are strategies for solving complex and large-scale optimization problems, which provide a near-optimal or practically useful solution. The aim of this chapter is to present a survey of metaheuristics and the available literature regarding the application of metaheuristics in the bioenergy supply chain field as well as the uniqueness and challenges of the mathematical problems applied to bioenergy.


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