Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach

Tamás Bányai, Béla Illés, Miklós Gubán, Ákos Gubán, Fabian Schenk and Ágota Bányai
Additional contact information
Tamás Bányai: Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary
Béla Illés: Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary
Miklós Gubán: Zalaegerszeg Faculty of Business Administration, Budapest Business School, 8900 Zalaegerszeg, Hungary
Ákos Gubán: Department of Business Information Technology, Budapest Business School, 1149 Budapest, Hungary
Fabian Schenk: Fraunhofer Institute for Factory Operation and Automation, 39106 Magdeburg, Germany
Ágota Bányai: Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary

Sustainability, 2019, vol. 11, issue 14, 1-26

Abstract: The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.

Keywords: heuristic optimization; just-in-sequence; flower pollination algorithm; sustainable supply chain performance; transportation costs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/14/3850/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/14/3850/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:14:p:3850-:d:248538

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().