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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tamás Bányai & Béla Illés & Miklós Gubán & Ákos Gubán & Fabian Schenk & Ágota Bányai, 2019. "Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3850-:d:248538
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    References listed on IDEAS

    as
    1. repec:pcz:journl:v:6:y:2012:i:1:p:117-126 is not listed on IDEAS
    2. Abbas Afrazeh & Iman Zarinozv, 2010. "A conceptual framework for presenting and promoting human resource knowledge sharing in the supply chain as a social network," International Journal of Services, Economics and Management, Inderscience Enterprises Ltd, vol. 2(3/4), pages 227-245.
    3. Berry, D. & Naim, M. M., 1996. "Quantifying the relative improvements of redesign strategies in a P.C. supply chain," International Journal of Production Economics, Elsevier, vol. 46(1), pages 181-196, December.
    4. D'Amours, Sophie & Montreuil, Benoit & Lefrancois, Pierre & Soumis, Francois, 1999. "Networked manufacturing:: The impact of information sharing," International Journal of Production Economics, Elsevier, vol. 58(1), pages 63-79, January.
    5. Korpela, Jukka & Lehmusvaara, Antti, 1999. "A customer oriented approach to warehouse network evaluation and design," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 135-146, March.
    6. Naso, David & Surico, Michele & Turchiano, Biagio & Kaymak, Uzay, 2007. "Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2069-2099, March.
    7. Hüttmeir, Andreas & de Treville, Suzanne & van Ackere, Ann & Monnier, Léonard & Prenninger, Johann, 2009. "Trading off between heijunka and just-in-sequence," International Journal of Production Economics, Elsevier, vol. 118(2), pages 501-507, April.
    8. Manuela Perez Perez, Angel Martinez Sanchez, 2002. "Learning and technological cooperation: the case of the Opel-GM related supply base," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 2(3/4), pages 305-318.
    9. Schneeweiss, Christoph & Zimmer, Kirstin & Zimmermann, Michael, 2004. "The design of contracts to coordinate operational interdependencies within the supply chain," International Journal of Production Economics, Elsevier, vol. 92(1), pages 43-59, November.
    10. László Kota, 2012. "Optimization Of The Supplier Selection Problem Using Discrete Firefly Algorithm," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 6(1), pages 117-126, December.
    11. Chang, Tsung-Sheng & Wan, Yat-wah & OOI, Wei Tsang, 2009. "A stochastic dynamic traveling salesman problem with hard time windows," European Journal of Operational Research, Elsevier, vol. 198(3), pages 748-759, November.
    12. Petering, Matthew E.H. & Chen, Xi & Hsieh, Wen-Huan, 2019. "Inventory control with flexible demand: Cyclic case with multiple batch supply and demand processes," International Journal of Production Economics, Elsevier, vol. 212(C), pages 60-77.
    13. Pierre Desport & Frédéric Lardeux & David Lesaint & Carla Di Cairano-Gilfedder & Anne Liret & Gilbert Owusu, 2017. "A combinatorial optimisation approach for closed-loop supply chain inventory planning with deterministic demand," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(3), pages 303-327.
    14. Kyung Sung Jung & Milind Dawande & H. Neil Geismar & V. Daniel R. Guide & Chelliah Sriskandarajah, 2016. "Supply planning models for a remanufacturer under just-in-time manufacturing environment with reverse logistics," Annals of Operations Research, Springer, vol. 240(2), pages 533-581, May.
    15. Salman Sigari, 2016. "Simulating operations process to achieve a hybrid optimal operational performance in supply chain scheduling: a case study," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 23(2), pages 254-262.
    16. Farahani, Reza Zanjirani & Elahipanah, Mahsa, 2008. "A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 229-243, February.
    17. A Diponegoro & B R Sarker, 2007. "Operations policy for a supply chain system with fixed-interval delivery and linear demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(7), pages 901-910, July.
    18. Hooshang M. Beheshti, 2010. "A decision support system for improving performance of inventory management in a supply chain network," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 59(5), pages 452-467, June.
    19. Peesapati, Rajagopal & Yadav, Vinod Kumar & Kumar, Niranjan, 2018. "Flower pollination algorithm based multi-objective congestion management considering optimal capacities of distributed generations," Energy, Elsevier, vol. 147(C), pages 980-994.
    20. Jean‐Paul Rodrigue, 2004. "Freight, Gateways And Mega‐Urban Regions: The Logistical Integration Of The Bostwash Corridor1," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 95(2), pages 147-161, April.
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