Operations and Supply Chain Management: Theoretical and Empirical Approaches

A special issue of Administrative Sciences (ISSN 2076-3387).

Deadline for manuscript submissions: closed (15 September 2018) | Viewed by 7788

Special Issue Editors


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Guest Editor
Management Development Institute, 122007 Gurgaon, India
Interests: operations management; supply chain management; total quality managemen; operations strategy; quantitative techniques and operations research; sustainable development goals
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
YMCA University of Science & Technology, Faridabad, Haryana 121006, India
Interests: supply chain management; industrial engineering; MCDM approaches

Special Issue Information

Dear Colleagues,

Operations and supply chain management is an interesting mix of man, machine and materials and applying sophisticated technology. Operations and supply chains are the backbone for development and growth of organisations and nations. It has been a key element of improvement in productivity in businesses around the world. Creating a competitiveness advantage through operations requires an understanding of how the operations and supply chain management contribute to productivity growth. Operations and supply chain management is best done with cross functional integrations within or outside the organizations. Today’s uncertain, turbulent environments expose supply chains and business operations to risks/disruptions that can significantly damage organisations and economies. Besides being a theoretical platform for the academic community there is a need to bridge the gap between supply chain and operations towards its effective deployment and application.

This Special Issue will focus on publishing original research papers that explore the application and impact of theoretical and empirical approaches in operations and supply chain management practice and its real world applications in advancing manufacturing or service systems. This issue particularly welcomes research papers on the topic of operations and supply chain management for improving manufacturing/service operations. Submissions involving systematic literature review, empirical and modelling based work, real world case studies will be encouraged. We are inviting original manuscripts in the following (but not limited to) topics:

  • Operations Management across different sectors
  • Operations and Supply Chain strategies
  • Responsive and reconfigurable supply chains
  • Logistics and warehousing management
  • Container operations and supply chains
  • Humanitarian supply chain management
  • Lean/Agile systems
  • Quality Management & Operations Excellence
  • Multi channel operation management
  • Cold chain management
  • Risk management in supply chains
  • Healthcare operations and supply chain management
  • Sustainable operations & supply chain management
  • Financial supply chains

Journal: Administrative Sciences (Indexed in the Emerging Sources Citation Index (ESCI) - Web of Science)

Prof. Dr. Rajesh Kumar Singh
Dr. Mahesh Chand
Guest Editors

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Published Papers (2 papers)

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Research

19 pages, 602 KiB  
Article
A Hybrid MADM Approach for the Evaluation of Different Material Handling Issues in Flexible Manufacturing Systems
by Sandhya Dixit and Tilak Raj
Adm. Sci. 2018, 8(4), 69; https://doi.org/10.3390/admsci8040069 - 14 Nov 2018
Viewed by 3340
Abstract
In today’s versatile and dynamic industrial scenario more and more industries are adopting advanced manufacturing technologies and systems like flexible manufacturing system (FMS) which combines the efficiency of a mass production line and the flexibility of a job shop. Material handling equipment form [...] Read more.
In today’s versatile and dynamic industrial scenario more and more industries are adopting advanced manufacturing technologies and systems like flexible manufacturing system (FMS) which combines the efficiency of a mass production line and the flexibility of a job shop. Material handling equipment form an important component of FMS and using proper material handling equipment can enhance the production process, provide effective utilization of manpower, increase production and improve system flexibility. In this research the main material handling issues in a FMS are identified and further evaluated using ISM and TOPSIS approaches. The purpose of identification of these issues and their analysis is to allow researchers and practicing managers to pay proper attention to these issues which may help them in designing the material handling systems in their organisations in a better way. Full article
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17 pages, 1570 KiB  
Article
An Algorithm to Manage Transportation Logistics That Considers Sabotage Risk
by Chaiya Chomchalao, Sasitorn Kaewman, Rapeepan Pitakaso and Kanchana Sethanan
Adm. Sci. 2018, 8(3), 39; https://doi.org/10.3390/admsci8030039 - 31 Jul 2018
Cited by 5 | Viewed by 3686
Abstract
This paper presents an algorithm to solve the multilevel location–allocation problem when sabotage risk is considered (MLLAP-SB). Sabotage risk is the risk that a deliberate act of sabotage will happen in a living area or during the transportation of a vehicle. This can [...] Read more.
This paper presents an algorithm to solve the multilevel location–allocation problem when sabotage risk is considered (MLLAP-SB). Sabotage risk is the risk that a deliberate act of sabotage will happen in a living area or during the transportation of a vehicle. This can change the way decisions are made about the transportation problem when it is considered. The mathematical model of the MLLAP-SB is first presented and solved to optimality by using Lingo v. 11 optimization software, but it can solve only small numbers of test instances. Second, two heuristics are presented to solve large numbers of test instances that Lingo cannot solve to optimality within a reasonable time. The original differential evolution (DE) algorithm and the extended version of DE—the modified differential evolution (MDE) algorithm—are presented to solve the MLLAP-SB. From the computational result, when solving small numbers of test instances in which Lingo is able to find the optimality, DE and MDE are able to find a 100% optimal solution while requiring much lower computational time. Lingo uses an average 96,156.67 s to solve the problem, while DE and MDE use only 104 and 90 s, respectively. Solving large numbers of test instances where Lingo cannot solve the problem, MDE outperformed DE, as it found a 100% better solution than DE. MDE has an average 0.404% lower cost than DE when using a computational time of 90 min. The difference in cost between MDE and DE changes from 0.08% when using 10 min to 0.54% when using 100 min computational time. The computational result also explicitly shows that when sabotage risk is integrated into the method of solving the problem, it can reduce the average total cost from 32,772,361 baht to 30,652,360 baht, corresponding to a 9.61% reduction. Full article
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