Advertisement

Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan

  • Sid Shakya
  • Summer Kassem
  • Ahmed Mohamed
  • Hani Hagras
  • Gilbert Owusu
Chapter

Abstract

Tactical supply planning (TSP) is an integral part of the end-to-end field resource planning process. It takes as input, constrained demand from the strategic plan at monthly (or quarterly) level, decomposes it to daily or weekly level and plans the capacity accordingly to meet the expected demand. The plan is then executed and sent to a work allocation system for on-the-day scheduling of individuals tasks to resources. A tactical supply plan ensures that there are enough resources available in the field on any given day. It highlights underutilised resources and offers recommendations on how best to deploy surplus resources. As such, TSP focuses on improving customer satisfaction by minimising operational cost and maximising right-first-time (RFT) objectives.

In this chapter, we describe opportunities and challenges in automating tactical supply planning and present a fuzzy approach to address the challenges. The motivation is to minimise the effort required for producing a resource plan. More importantly, our objective is to leverage computation intelligence to produce optimised supply plan in order to increase RFT and the customer satisfaction.

References

  1. Bianchi L, Birattari M, Chiarandini M, Manfrin M, Mastrolilli M, Paquete L, Rossi-Doria O, Schiavinotto T (2004) Metaheuristics for the vehicle routing problem with stochastic demands. In: Proceedings of eighth international conference on parallel problem solving from nature. Lecture notes in computer science, vol 3242. Springer, Berlin, pp 450–460Google Scholar
  2. Dorne R, Voudouris C (2001) HSF: a generic framework to easily design meta-heuristic methods. In: Proceedings of MIC 4th metaheuristics international conference, Porto, Portugal, 16–20 July. pp 423–427Google Scholar
  3. Hagras H (2004) A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots. IEEE Trans Fuzzy Syst 12(4):524–539CrossRefGoogle Scholar
  4. Kassem S, Hagras H, Owusu G, Shakya S (2012) A type2 fuzzy logic system for workforce management in the telecommunications domain. In: 2012 I.E. international conference on fuzzy systems (FUZZ-IEEE), 10–15 June. pp 1, 8Google Scholar
  5. Kern M, Shakya S, Owusu G (2009) Integrated resource planning for diverse workforces. Computers and industrial engineering. In: Proceedings of the IEEE international conference on computers and industrial engineering, Troyes. pp 1169–1173Google Scholar
  6. Lesaint D, Voudouris C, Azarmi N, Laithwaite B (1997) Dynamic workforce management. In: Proceeding of the IEE colloquium on AI for network management systems, vol 1. London, UK, pp 1–5Google Scholar
  7. Lesaint D, Voudouris C, Azarmi N (2000) Dynamic workforce scheduling for British telecommunications plc. Interfaces 30(1):45–56Google Scholar
  8. Mendel J (2001) Uncertain rule-based fuzzy logic systems: introduction and new directions. Prentice-Hall, Upper Saddle River, NJGoogle Scholar
  9. Merz P, Freisleben B (1999) A comparison of memetic algorithms, tabu search and ant colonies for the quadratic assignment problem. In: Proceedings of the 1999 congress on evolutionary computation, Washington, DCGoogle Scholar
  10. Shakya SK (2004) Markov random field modeling of genetic algorithms. In: Progress report submitted to The Robert Gordon University to make the case for transfer from MPhil to PhD, The Robert Gordon UniversityGoogle Scholar
  11. Wang D, Zeng X, Keane J (2006) A survey of hierarchical fuzzy systems. Int J Comput Cognit 4(1):18–28Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sid Shakya
    • 1
  • Summer Kassem
    • 2
  • Ahmed Mohamed
    • 2
  • Hani Hagras
    • 2
  • Gilbert Owusu
    • 1
  1. 1.Research and Innovation, BT Technology, Services and OperationsMartlesham HeathUK
  2. 2.School of Computer Science and Electronic EngineeringUniversity of EssexEssexUK

Personalised recommendations