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Fuzzy Modeling for Low-Carbon Dynamic Procurement Problem

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Abstract

The importance of effective and efficient procurement in the dynamic business environment cannot be neglected for overall performance of a firm. However, the parameters such as demand and availability of various resources are difficult to estimate with certainty. Thus, such uncertain parameters make it difficult to model lot-sizing procurement problem. Moreover, due to current environmental concerns the procurement problem must also address carbon emissions caused during procurement process. Therefore, this paper is an attempt to address the decision making for a low-carbon dynamic procurement problem for multi-products from multiple sources through multi-carriers in multi-period using fuzzy programming. In this paper, a fuzzy mixed integer linear program (FMILP) is proposed to obtain low-carbon optimal order allocation, supplier and carrier selection in the presence of fuzzy demand, fuzzy carrier and supplier capacities, and carbon emissions. The proposed FMILP is solved in LINGO 10. The working methodology of the proposed model is demonstrated using two illustrative examples.

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Authors and Affiliations

  1. Birla Institute of Technology and Science, Pilani, India

    Akshat Kothyari

  2. Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India

    Surya Prakash Singh & Harpreet Kaur

Authors
  1. Akshat Kothyari
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  2. Surya Prakash Singh
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  3. Harpreet Kaur
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Corresponding author

Correspondence to Harpreet Kaur.

Appendices

Appendix 1

See Table 4.

Table 4 Randomly generated fuzzy data for 3T-3P-5S-3M problem
Full size table

Appendix 2

See Table 5.

Table 5 Randomly generated fuzzy data for 7T-4P-5S-3M problem
Full size table

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Kothyari, A., Singh, S.P. & Kaur, H. Fuzzy Modeling for Low-Carbon Dynamic Procurement Problem. Int. J. Fuzzy Syst. 19, 1238–1248 (2017). https://doi.org/10.1007/s40815-016-0238-1

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  • DOI: https://doi.org/10.1007/s40815-016-0238-1

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