Skip to main content
Log in

A multiobjective differentiated service model for pricing and due date setting in the handmade wood product industry

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Since various service needs for pricing and setting due dates in the handmade wood product industry are increasing dramatically, a differentiated service based on the maximal profit criterion becomes an important marketing strategy for customer relationship management (CRM). However, other important objectives of customer satisfaction maximization are often ignored. In this paper, a multiobjective differentiated service model based on customer preference information on pricing and due date setting into consideration in the handmade wood product industry is proposed. Since resolving the differentiated service model is an NP problem, a multiobjective hybrid heuristic method is proposed. The hybrid heuristic method integrates large neighborhood search (LNS) into particle swarm optimization (PSO). The results revealed that the proposed method is better than existing methods and other heuristic methods for the single or differentiated service model in terms of both profit and customer satisfaction criterion. Some sensitivity analysis for different customer segments and different arrival rates is also considered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Armstrong G, Kotler P (2000) Marketing: an introduction, 5th edn. Prentice Hall, New Jersey

    Google Scholar 

  2. Baines TS, Lightfoot HW, Benedettini O, Kay JM (2009) The servitization of manufacturing: a review of literature and reflection on future challenges. J Manuf Technol Manag 20(5):547–567

    Article  Google Scholar 

  3. Baños R, Gil C, Paechter B, Ortega J (2007) A hybrid meta-heuristic for multi-objective optimization: MOSATS. J Math Model Algorith 6:213–230

    Article  MATH  Google Scholar 

  4. Behnamian J, Fatemi Ghomi SMT, Zandieh M (2009) A multi-phase covering pareto-optimal front method to multi-objectives scheduling in a realistic hybrid flowshop using a hybrid metaheuristic. Expert Syst Appl 36(8):11057–11069

    Article  Google Scholar 

  5. Berman B (2005) Applying yield management pricing to your service business. Bus Horiz 48:169–179

    Article  Google Scholar 

  6. Chen Y, Cheng C, Wang L, Chen T (2013) A hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems—a case study for solar cell industry. Int J Prod Econ 141:66–78

    Article  Google Scholar 

  7. Chan, F. T. S. and Chung, S. H., “A modified multi-criterion genetic algorithm for order fulfillment in manufacturing network”, Proceedings of the 9th Asia Pacific Industrial Engineering & Management System Conference, APIEMS, Indonesia, pp. 2221–2226, 2008.

  8. Cronin JJ, Brady MK, Hult GTM (2000) Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. J Retail 76(2):193–218

    Article  Google Scholar 

  9. Dalila BM, Fontes M, Gasper-Cunha A (2010) On multi-objective evolutionary algorithms. Appl Optim 103:287–310

    Article  Google Scholar 

  10. Davis-Sramek B, Mentzer JT, Stank TP (2008) Creating consumer durable retailer customer loyalty through order fulfillment service operations. J Oper Manag 26:781–797

    Article  Google Scholar 

  11. Fishburn PC, Odlyzko AM (2000) Dynamic behavior of differential pricing and quality of service options for the internet. Decis Support Syst 28:123–136

    Article  Google Scholar 

  12. Gao J, Yao Y, Zhu VC, Sun L, Lin L (2011) Service-oriented manufacturing: a new product pattern and manufacturing paradigm. J Intell Manuf 22(3):435–446

    Article  Google Scholar 

  13. Gebauer H, Gustafsson A, Witell L (2011) Competitive advantage through service differentiation by manufacturing companies. J Bus Res 64(12):1270–1280

    Article  Google Scholar 

  14. Hansen P, Mladenović N (2001) Variable neighborhood search: principles and applications. Eur J Oper Res 130:449–467

    Article  MATH  Google Scholar 

  15. Hansen P, Mladenović N (2010) Variable neighborhood search: methods and applications. Ann Oper Res 175:367–407

    Article  MATH  MathSciNet  Google Scholar 

  16. He Y, Lai KK, Sun H, Chen Y (2014) The impact of supplier integration on customer integration and new product performance: the mediating role of manufacturing flexibility under trust theory. Int J Prod Econ 147:260–270

    Article  Google Scholar 

  17. Jaeggi DM, Parks GT, Kipouros T, Clarkson PJ (2008) The development of a multi-objective tabu search algorithm for continuous optimisation problems. Eur J Oper Res 185(3):1192–1212

    Article  MATH  MathSciNet  Google Scholar 

  18. Jones DF, Mirrazavi SK, Tamiz M (2002) Multi-objective meta-heuristics: an overview of the current state-of-the-art. Eur J Oper Res 137(1):1–9

    Article  MATH  Google Scholar 

  19. Kotler, P., “Marketing Management-Analysis, Planning, Implementation and Control”, 7th ed., Prentice-Hall Inc., 1991.

  20. Kurata H, Nam SH (2010) After-sales service competition in a supply chain: optimization of customer satisfaction level or profit or both? Int J Prod Econ 127:136–146

    Article  Google Scholar 

  21. Lambert, D. M. and Stock, J. R., “Strategic Logistics Management”, 3rd ed., Irwin, 1993.

  22. Li JQ, Pan QK, Liang YC (2010) An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems. Comput Ind Eng 59(4):647–662

    Article  Google Scholar 

  23. Lii YS, Sy E (2009) Internet differential pricing: effects on consumer price perception, emotions, and behavioral responses. Comput Hum Behav 25:770–777

    Article  Google Scholar 

  24. Mestry S, Damodaran P, Chen CS (2011) A branch and price solution approach for order acceptance and capacity planning in make-to-order operations. Eur J Oper Res 211:480–495

    Article  MATH  MathSciNet  Google Scholar 

  25. Moslehi G, Mahnam M (2011) A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search. Int J Prod Econ 129:14–22

    Article  Google Scholar 

  26. Rabbani M, Bajestani MA, Khoshkhou GB (2011) A multi-objective particle swarm optimization for project selection problem. Expert Syst Appl 37:315–321

    Article  Google Scholar 

  27. Reyes-Sierra M, Coello CA (2006) Multi-objective particle swarm optimizers: a survey of the state-of-the-art. Int J Comput Intell Res 2:287–308

    MathSciNet  Google Scholar 

  28. Saccani N, Johanssonb P, Peronaccani M (2007) Configuring the after-sales service supply chain: a multiple case study. Int J Prod Econ 110:52–69

    Article  Google Scholar 

  29. Shao X, Liu W, Liu Q, Zhang C (2013) Hybrid discrete particle swarm optimization for multi-objective flexible job-shop scheduling problem. Int J Adv Manuf Technol 67:2885–2901

    Article  Google Scholar 

  30. Stole LA (2007) Price discrimination and competition. Handb Ind Org 3:2221–2299

    Google Scholar 

  31. Sun Y, Zhang C, Gao L, Wang X (2011) Multi-objective optimization algorithms for flow shop scheduling problem: a review and prospects. Int J Adv Manuf Technol 55:723–739

    Article  Google Scholar 

  32. Ting CJ, Wu KC, Chou H (2014) Particle swarm optimization algorithm for the berth allocation problem. Expert Syst Appl 41:1543–1550

    Article  Google Scholar 

  33. Ulaga W, Reinartz WJ (2011) Hybrid offerings: how manufacturing firms combine goods and services successfully. J Mark 75(6):5–23

    Article  Google Scholar 

  34. Ülkü MA, Bookbinder JH (2012) Optimal quoting of delivery time by a third party logistics provider: the impact of shipment consolidation and temporal pricing schemes. Eur J Oper Res 221:110–117

    Article  MATH  Google Scholar 

  35. Valletti TM (2000) Price discrimination and price dispersion in aduopoly. Res Econ 54:351–374

    Article  Google Scholar 

  36. Wang D, Hong KL (2008) Multi-fleet ferry service network design with passenger preferences for differential services. Transp Res B Methodol 42:798–822

    Article  Google Scholar 

  37. Wimble M (2012) An industry-level examination of information technology outsourcing in services and manufacturing. JITTA: J Inf Technol Theor Appl 13(4):21–28

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chih-Hung Chung.

Appendix A (Questionnaire for product: cookie box)

Appendix A (Questionnaire for product: cookie box)

figure afigure afigure a

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, SC., Chung, CH. & Lai, YC. A multiobjective differentiated service model for pricing and due date setting in the handmade wood product industry. Int J Adv Manuf Technol 77, 131–144 (2015). https://doi.org/10.1007/s00170-014-6440-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-014-6440-0

Keywords

Navigation