Mathematical Models and Operation Management Methods in Sustainable Logistics

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 2684

Special Issue Editor


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Guest Editor
Department of Statistical and Insurance Science, University of Western Macedonia, 50100 Kozani, Greece
Interests: operations research; optimization; logistics; econometrics

Special Issue Information

Dear Colleagues,

The application of operations management models for optimizing sustainable logistics operations is attracting growing attention as it can improve efficiency while promoting environmental and socially responsible behaviors. With the emergence of international regulatory interventions, such as the Carbon Intensity Indicator of the International Maritime Organization, new challenges arise in the development of operations research models for the design, planning, and control of sustainable supply chain systems.  

This Special Issue invites papers on optimization and econometric models with potential application in logistics and supply chain management systems. We solicit papers that incorporate new ideas, results, innovative, modern methodologies, and algorithms. We also encourage the submission of papers that include applications to real-life problems and its implementation results.

Research papers, review articles, and short communications are invited.

Dr. Ioannis Mallidis
Guest Editor

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Keywords

  • operations research
  • optimization
  • logistics
  • sustainability
  • environment
  • mathematics

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Published Papers (1 paper)

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Research

12 pages, 895 KiB  
Article
Reformulated Silver-Meal and Similar Lot Sizing Techniques
by Anders Segerstedt, Beatriz Abdul-Jalbar and Björn Samuelsson
Axioms 2023, 12(7), 661; https://doi.org/10.3390/axioms12070661 - 3 Jul 2023
Viewed by 2252
Abstract
Literature and most textbooks around the world describe Silver-Meal in such a way that periods with zero demand make Silver-Meal suggest a higher frequency of order replenishments than necessary and therefore higher total costs than necessary. Silver-Meal, still the best-known technique, is therefore [...] Read more.
Literature and most textbooks around the world describe Silver-Meal in such a way that periods with zero demand make Silver-Meal suggest a higher frequency of order replenishments than necessary and therefore higher total costs than necessary. Silver-Meal, still the best-known technique, is therefore inferior to other lesser-known techniques when the time interval in the calculations presently is days and not months. The purpose of this article is to show that another mathematical formulation of Silver-Meal avoids this trouble. We also point to characteristics such as Silver-Meal, Least Unit Cost, Part-Period Balancing, and lot-sizing techniques that are available in many textbooks for operations and supply chain management. We illustrate the techniques with different examples of periods without demand, declining demand, and varying demand. We point out possible problems with the different techniques. Literature mostly does not consider periods of zero demand, which was not so important before. Lot-sizing methods must cope with the important performance indicator “Days of inventory”. Numerous practical situations with zero demand periods exist where a lot of sizing techniques help for efficient operations. It is necessary knowledge and a tool for students (future users, performers, and managers). “Lägsta periodkostnad” is a restored and reformulated Silver-Meal, with Silver-Meal’s characteristics already presented in literature, except those difficulties with zero demand periods disappear. Full article
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