IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v28y2017i6d10.1007_s10845-015-1059-z.html
   My bibliography  Save this article

Developing a decision support system for improving sustainability performance of manufacturing processes

Author

Listed:
  • Seung-Jun Shin

    (National Institute of Standards and Technology)

  • Duck Bong Kim

    (National Institute of Standards and Technology)

  • Guodong Shao

    (National Institute of Standards and Technology)

  • Alexander Brodsky

    (George Mason University)

  • David Lechevalier

    (National Institute of Standards and Technology)

Abstract

It is difficult to formulate and solve optimization problems for sustainability performance in manufacturing. The main reasons for this are: (1) optimization problems are typically complex and involve manufacturing and sustainability aspects, (2) these problems require diversity of manufacturing data, (3) optimization modeling and solving tasks require specialized expertise and programming skills, (4) the use of a different optimization application requires re-modeling of optimization problems even for the same problem, and (5) these optimization models are not decomposed nor reusable. This paper presents the development of a decision support system (DSS) that enables manufacturers to formulate optimization problems at multiple manufacturing levels, to represent various manufacturing data, to create compatible and reusable models and to derive easily optimal solutions for improving sustainability performance. We have implemented a DSS prototype system and applied this system to two case studies. The case studies demonstrate how to allocate resources at the production level and how to select process parameters at the unit-process level to achieve minimal energy consumption. The research of this paper will help reduce time and effort for enhancing sustainability performance without heavily relying on optimization expertise.

Suggested Citation

  • Seung-Jun Shin & Duck Bong Kim & Guodong Shao & Alexander Brodsky & David Lechevalier, 2017. "Developing a decision support system for improving sustainability performance of manufacturing processes," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1421-1440, August.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:6:d:10.1007_s10845-015-1059-z
    DOI: 10.1007/s10845-015-1059-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-015-1059-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-015-1059-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    2. Kan Fang & Nelson Uhan & Fu Zhao & John Sutherland, 2013. "Flow shop scheduling with peak power consumption constraints," Annals of Operations Research, Springer, vol. 206(1), pages 115-145, July.
    3. Eligius M. T. Hendrix & Boglárka G.-Tóth, 2010. "Nonlinear Programming algorithms," Springer Optimization and Its Applications, in: Introduction to Nonlinear and Global Optimization, chapter 5, pages 91-136, Springer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stevanovic Dalibor, 2016. "Common time variation of parameters in reduced-form macroeconomic models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 159-183, April.
    2. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    3. A. Fadlelmawla & M. Al-Otaibi, 2005. "Analysis of the Water Resources Status in Kuwait," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 555-570, October.
    4. Stefan Mišković, 2017. "A VNS-LP algorithm for the robust dynamic maximal covering location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1011-1033, October.
    5. Duan, Jinyun & Li, Chenwei & Xu, Yue & Wu, Chia-Huei, 2017. "Transformational leadership and employee voice behavior: a Pygmalion mechanism," LSE Research Online Documents on Economics 68035, London School of Economics and Political Science, LSE Library.
    6. Hota, Monali & Bartsch, Fabian, 2019. "Consumer socialization in childhood and adolescence: Impact of psychological development and family structure," Journal of Business Research, Elsevier, vol. 105(C), pages 11-20.
    7. Abernethy, Margaret A. & Vagnoni, Emidia, 2004. "Power, organization design and managerial behaviour," Accounting, Organizations and Society, Elsevier, vol. 29(3-4), pages 207-225.
    8. Minjiao Zhang & Simge Küçükyavuz & Saumya Goel, 2014. "A Branch-and-Cut Method for Dynamic Decision Making Under Joint Chance Constraints," Management Science, INFORMS, vol. 60(5), pages 1317-1333, May.
    9. Peter Burnell, 2008. "From Evaluating Democracy Assistance to Appraising Democracy Promotion," Political Studies, Political Studies Association, vol. 56(2), pages 414-434, June.
    10. M. J. Naderi & M. S. Pishvaee, 2017. "Robust bi-objective macroscopic municipal water supply network redesign and rehabilitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2689-2711, July.
    11. Mammassis, Constantinos S. & Kostopoulos, Konstantinos C., 2019. "CEO goal orientations, environmental dynamism and organizational ambidexterity: An investigation in SMEs," European Management Journal, Elsevier, vol. 37(5), pages 577-588.
    12. Minghe Sun, 2005. "Warm-Start Routines for Solving Augmented Weighted Tchebycheff Network Programs in Multiple-Objective Network Programming," INFORMS Journal on Computing, INFORMS, vol. 17(4), pages 422-437, November.
    13. Viren Swami & Phik-Wern Loo & Adrian Furnham, 2010. "Public Knowledge and Beliefs About Depression Among Urban and Rural Malays in Malaysia," International Journal of Social Psychiatry, , vol. 56(5), pages 480-496, September.
    14. Kan Fang & Nelson Uhan & Fu Zhao & John Sutherland, 2016. "Scheduling on a single machine under time-of-use electricity tariffs," Annals of Operations Research, Springer, vol. 238(1), pages 199-227, March.
    15. Jugend, Daniel & da Silva, Sérgio Luis & Salgado, Manoel Henrique & Miguel, Paulo Augusto Cauchick, 2016. "Product portfolio management and performance: Evidence from a survey of innovative Brazilian companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5095-5100.
    16. Ruiwei Jiang & Siqian Shen & Yiling Zhang, 2017. "Integer Programming Approaches for Appointment Scheduling with Random No-Shows and Service Durations," Operations Research, INFORMS, vol. 65(6), pages 1638-1656, December.
    17. Mínguez, R. & García-Bertrand, R., 2016. "Robust transmission network expansion planning in energy systems: Improving computational performance," European Journal of Operational Research, Elsevier, vol. 248(1), pages 21-32.
    18. Jenny Carolina Saldana Cortés, 2011. "Programación semidefinida aplicada a problemas de cantidad económica de pedido," Documentos CEDE 8735, Universidad de los Andes, Facultad de Economía, CEDE.
    19. Ian Maitland & Mitsuhiro Umezu, 2006. "An Evaluation of Japan's Stakeholder Capitalism," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 22(Spring 20), pages 131-164.
    20. Mikhail A. Sokolovskiy & Xavier J. Carton & Boris N. Filyushkin, 2020. "Mathematical Modeling of Vortex Interaction Using a Three-Layer Quasigeostrophic Model. Part 1: Point-Vortex Approach," Mathematics, MDPI, vol. 8(8), pages 1-13, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:28:y:2017:i:6:d:10.1007_s10845-015-1059-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.