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Manufacturing quality improvement and setup cost reduction in a vendor-buyer supply chain model

Author

Listed:
  • Arunava Majumder
  • Rekha Guchhait
  • Biswajit Sarkar

Abstract

Quality improvement and setup cost reduction of any production system are endless procedure. Customer's demand is always intended to have the best quality product and the industries always try to improve the quality of products. This paper develops a two-echelon supply chain model with quality improvement of products and setup cost reduction under controllable lead time. The lead time demand follows a normal distribution and in the second case, it does not consider any specific distribution except a mean and standard deviation. Both models are solved analytically to obtain global solution. Two improved iterative algorithms are developed in order to obtain the optimal results of decision variables numerically to minimise the total system cost. The expected value of additional information is calculated to show the financial effect for collecting the information about lead time demand distribution. Some numerical examples and sensitivity analysis are given to illustrate the model. [Received 8 December 2016; Revised 27 March 2017; Accepted 21 April 2017]

Suggested Citation

  • Arunava Majumder & Rekha Guchhait & Biswajit Sarkar, 2017. "Manufacturing quality improvement and setup cost reduction in a vendor-buyer supply chain model," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(5), pages 588-612.
  • Handle: RePEc:ids:eujine:v:11:y:2017:i:5:p:588-612
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    Citations

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    Cited by:

    1. Rekha Guchhait & Sarla Pareek & Biswajit Sarkar, 2019. "How Does a Radio Frequency Identification Optimize the Profit in an Unreliable Supply Chain Management?," Mathematics, MDPI, vol. 7(6), pages 1-19, May.
    2. Shaktipada Bhuniya & Biswajit Sarkar & Sarla Pareek, 2019. "Multi-Product Production System with the Reduced Failure Rate and the Optimum Energy Consumption under Variable Demand," Mathematics, MDPI, vol. 7(5), pages 1-20, May.
    3. Chauhan, Ruchi & Majumder, Arunava & Kumar, Varun, 2023. "The impact of adopting customization policy and sustainability for improving consumer service in a dual-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Ata Allah Taleizadeh & Masoumeh Sadat Babaei & Shib Sankar Sana & Biswajit Sarkar, 2019. "Pricing Decision within an Inventory Model for Complementary and Substitutable Products," Mathematics, MDPI, vol. 7(7), pages 1-22, June.
    5. Mohammed Alkahtani & Muhammad Omair & Qazi Salman Khalid & Ghulam Hussain & Imran Ahmad & Catalin Pruncu, 2021. "A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions," IJERPH, MDPI, vol. 18(4), pages 1-23, February.
    6. Yong Zhang & Xingyu Yang & Weiguo Zhang & Weiwei Chen, 2020. "Online ordering rules for the multi-period newsvendor problem with quantity discounts," Annals of Operations Research, Springer, vol. 288(1), pages 495-524, May.
    7. Bimal Kumar Sett & Bikash Koli Dey & Biswajit Sarkar, 2020. "The Effect of O2O Retail Service Quality in Supply Chain Management," Mathematics, MDPI, vol. 8(10), pages 1-36, October.
    8. Raden Achmad Chairdino Leuveano & Mohd Nizam Ab Rahman & Wan Mohd Faizal Wan Mahmood & Chairul Saleh, 2019. "Integrated Vendor–Buyer Lot-Sizing Model with Transportation and Quality Improvement Consideration under Just-in-Time Problem," Mathematics, MDPI, vol. 7(10), pages 1-25, October.
    9. Mitali Sarkar & Biswajit Sarkar, 2019. "Optimization of Safety Stock under Controllable Production Rate and Energy Consumption in an Automated Smart Production Management," Energies, MDPI, vol. 12(11), pages 1-16, May.
    10. Barun Khara & Jayanta Kumar Dey & Shyamal Kumar Mondal, 2021. "An integrated imperfect production system with advertisement dependent demand using branch and bound technique," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 508-546, June.
    11. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Aránega, Alba Yela & Biswas, Baidyanath, 2023. "Development of an integrative model for electronic vendor relationship management for improving technological innovation, social change and sustainability performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

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