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Modelling Sustainable Procurement: A Case of Indian Manufacturing Firm

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Advanced Computing and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 562))

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Abstract

In today’s dynamic and challenging environment, business decisions are driven not only by cost but also by environmental legislations. In manufacturing industries, procurement is a crucial operation responsible for cost, quality and delivery of final product. Unlike purchasing, procurement involves strategic planning of lot-sizes to be ordered from suppliers and carriers. The paper proposes a sustainable procurement model (SPM) integrating lot-sizing, supplier and carrier selection in a cap-and-trade environment, optimizing cost and carbon emissions. The model is illustrated with the help of a case study of an Indian manufacturing firm procuring raw materials from multiple suppliers using multiple carriers.

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Author information

Authors and Affiliations

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

    Harpreet Kaur & Surya Prakash Singh

Authors
  1. Harpreet Kaur
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  2. Surya Prakash Singh
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Corresponding author

Correspondence to Surya Prakash Singh .

Editor information

Editors and Affiliations

  1. Asia Pacific Institute of Information Technology, Panipat, Haryana, India

    Ramesh K. Choudhary

  2. Department of Computer Science and Engineering, Faculty of Engineering, Technology and Management, Kalyani University, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  3. Computational Science Division, Saha Institute of Nuclear Physics, Kolkata, West Bengal, India

    Dhananjay Bhattacharyya

Appendix I

Appendix I

Secondary data for manufacturing firm located at Jalandhar, Punjab

Parts

OC ti

D ti (kg)a

PC b tij

SC tij (*10,000)(kg)b

Suppliers

l c tjm

TC c tim

P 1(40.5)

1000

166458.7, 168123.3, 164794.113

68, 74.9, 73.3, 67.2, 85.1

36, 18, 12, 60, 9

S 1

1, 2

5, 3

P 2 (41.2)

1000

1,014,016, 1,024,156, 1003876.008

69.63, 70.86, 67.6, 76.6, 88.6

180, 120, 90, 30, 60

S 2

3, 4

4, 2

P 3 (41.5)

1200

14,800, 14,948, 14,652

68, 74.9, 73.3, 67.2, 85.1

36, 18, 20, 6, 9

S 3

4, 5

4, 2

P 4 (42.2)

1200

21,000, 21,210, 20,790

69.63, 70.86, 67.6, 76.6, 88.6

180, 120, 90, 30, 180

S 4

1, 1

3, 1

P 5 (43.9)

1400

560863.7, 566472.4, 555255.1

73.8, 75.5, 76.39, 78.51, 83.41

1110, 60, 45, 60, 30

S 5

1, 2

7, 4

P 6 (45.5)

1200

28,500, 28,785, 28,215

82.8, 83.6, 86.45, 84.5, 85

36, 18, 120, 6, 9

Carbon calculation

Others

P 7 (45.6)

1200

4375, 4418.75, 4331.25

79, 79.8, 82, 81, 80

180, 120, 90, 30, 60

F tm

0.15, 0.2

ul t i  = 7

P 8 (50)

1000

14806.7, 14954.77, 14658.633

85, 92.5, 87.5, 91, 92

36, 18, 12, 6, 9

E to

0.01

ll ti  = 0

P 9 (54)

1200

12217.06, 12339.23, 12094.8894

95, 96, 99.36, 96, 96

180, 120, 90, 30, 60

E tw

0.003

cc Jm  = 15, 20 (mtn)

P 10 (58)

1000

39941.24, 40340.65, 39541.8276

101.5, 102, 103.82, 106, 118.9

9, 36, 18, 12, 6

Mil m

14, 12

V = 20, 30

  1. aMeans that data belongs to set {T 1, T 2, T 3}
  2. bMeans that data belongs to set {S 1, S 2, S 3, S 4, S 5}
  3. cMeans that data belongs to set {M 1, M 2}

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Kaur, H., Singh, S.P. (2018). Modelling Sustainable Procurement: A Case of Indian Manufacturing Firm. In: Choudhary, R., Mandal, J., Bhattacharyya, D. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-10-4603-2_21

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  • DOI: https://doi.org/10.1007/978-981-10-4603-2_21

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