Access Journal

Access to Science, Business, Innovation in the Digital Economy

Initial states and transitional expenses in production and transport systems optimization

Published Online: Sep 30, 2022
Published: Sep 30, 2022
Views: 581
Downloads: 24
Download PDF

The production and transport systems optimization models, as well as classical transport or distributive problems, mainly concentrate on finding of the plan, optimum according to own characteristics, and don't take into account costs on system transition from its given (initial) state to defined as optimum. The neglect of such transitional expenses leads to certain losses of the corresponding models’ adequacy and to obtaining the absolutely-optimal solution, which is invariant to initial system state. In our paper we introduce and investigate the notion of relatively-optimal plans. The basic types of dependences of relatively-optimal plans and maximum achievable profit on the production and transport system initial state under the different functions of transitional expenses are determined. Corresponding computer calculations are also carried out and confirmed our theoretical results and conclusions. From the mathematical point of view, the accounting of initial states and the transitional expenses, on the one hand, complicates the corresponding models and computing processes, however on the other hand – does the models even more interesting, creates additional non-trivial effects
JEL Classification:
C51, C61, O21
How to cite:
Kholodenko, A., Gusak, V. (2022) Initial states and transitional expenses inproduction and transport system optimization. Access to science, business, innovation in digital economy. ACCESS Press, 3(3): 292-306.
  • Bowersox, D.J., Closs, D.J. (1996) Logistical Management. The Integrated Supply Chain Process. McGraw-Hill.
  • Carlton, D., Perloff, J. (2004) Modern Industrial Organization, Addison Wesley.
  • Church, J., Ware, R. (2000) Industrial Organization. A Strategic Approach, McGraw-Hill.
  • Geunes, J., Pardalos, P., Romeijn, H. (2002) Supply Chain Management: Models, Applications, and Research Directions, Kluwer Academic Publishers.
  • Grazia Speranza, M. (2018) Trends in transportation and logistics, European Journal of Operations Research, 264(3), 830-836.
  • Guajardo, M., Rönnqvist, M., Flisberg, P., Frisk, M. (2018) Collaborative transportation with overlapping coalitions, European Journal of Operational Research, 271(1), 238-249.
  • Jehle, G., Reny, PH. (2000) Advanced Microeconomic Theory, Addison Wesley.
  • Kholodenko, A. (2020) Vertical and horizontal competition and cooperation in supply chain system / Estudios de Economia Aplicada (Studies of Applied Economics). Vol. 38. – No 3 (1). – 17 p. – ISSN: 1133–3197. – URL: doi: 10.25115/eea.v38i4.4020
  • Kong, Q., Li, R., Wang, Z., Peng, D. (2022) Economic policy uncertainty and firm investment decisions: Dilemma or opportunity? International Review of Financial Analysis, Volume 83, 102301, ISSN 1057-5219,
  • Mathis, S. & Koscianski, J. (2002) Microeconomic Theory: An Integrated Approach, Prentice Hall.
  • Nicholson, W. (2000) Intermediate Microeconomics and its Application, Harcourt.
  • Pepall, L., Richards, D., Norman, G. (2001) Industrial Organization: Contemporary Theory and Practice, South-Western College Publishing.
  • Poirier, C. (2003) Using Models to Improve the Supply Chain, CRC Press.
  • Schmalensee, R., Willig, R. (2002) Handbook of Industrial Organization, Vol.1, Elsevier Science.
  • Shaelaie, M.-H., Ranjbar, M., Jamili, N. (2018) Integration of parts transportation without cross docking in a supply chain, Computers & Industrial Engineering, 118, 67-79.
  • Shapiro, J. (2000) Modeling the Supply Chain, Duxbury Press.
  • Simchi-Levi, D., Chen, X., Bramel, J. (2004) The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management, Springer / Springer Series in Operations Research and Financial Engineering.
  • Simchi-Levi, D., Wu, D., Shen, Z. (2004) Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era, Springer / International Series of Operations Research and Management Science.
  • Stadtler, H., Kilger, C. (2004) Supply Chain Management and Advanced Planning: Concepts, Models, Software and Case Studies, Springer-Verlag Telos.
  • Varian, H.R. (1992) Microeconomic Analysis, W.W.Norton & Company.
  • Voss, S., Woodruff, D. (2003) Introduction to Computational Optimization Models for Production Planning in a Supply Chain, Springer-Verlag.
  • Voynarenko, M., Kholodenko, A. (2019) Profit intensity criterion for transportation problems, Global Journal of Environment Science Management, 5 (SI), 131-140. DOI: 10.22034/gjesm.2019.SI.15
  • Zhang, J., Yalcin, M., Hales, D. (2020) Elements of paradoxes in supply chain management literature: A systematic literature review, International Journal of Production Economics,

Publish your science journal

If you like ACCESS journals system, you can publish your journal with us at a reasonable price