Order Optimization of a Telecommunication Distribution Center through Service Lead Time
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33115
Order Optimization of a Telecommunication Distribution Center through Service Lead Time

Authors: Tamás Hartványi, Ferenc Tóth

Abstract:

European telecommunication distribution center performance is measured by service lead time and quality. Operation model is CTO (customized to order) namely, a high mix customization of telecommunication network equipment and parts. CTO operation contains material receiving, warehousing, network and server assembly to order and configure based on customer specifications. Variety of the product and orders does not support mass production structure. One of the success factors to satisfy customer is to have a proper aggregated planning method for the operation in order to have optimized human resources and highly efficient asset utilization. Research will investigate several methods and find proper way to have an order book simulation where practical optimization problem may contain thousands of variables and the simulation running times of developed algorithms were taken into account with high importance. There are two operation research models that were developed, customer demand is given in orders, no change over time, customer demands are given for product types, and changeover time is constant.

Keywords: CTO, aggregated planning, demand simulation, changeover time.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132559

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 788

References:


[1] Tamás Hartványi – Ferenc Tóth: Wettbewerbsfähige (competitive) Supply Chain Strategie in einem sich wandelnden Geschäftsumfeld in VIII Conferencia Internacional de Ingeniería Mecánica COMEC 2014, Villa Clara, Cuba, 17-20 noviembre de 2014, ISBN 978-959-250-997-9
[2] Tamás Hartványi – Ferenc Tóth: Six Steps to Drive the Success behind Company Supply Chain Collaboration in GLOGIFT 15, Fifteenth Global Conference on Flexible Systems Management, Pune, India, 23-25 October 2015, pp. 1018-1027, ISBN 978-81-906294-9-2
[3] Bazaraa, M. S. – Sherali, H. D. – Shetty, C. M.: Nonlinear Programming: Theory and Algorithms. Wiley, New Jersey, 3rd edition, 2016, ISBN: 978-0-471-48600-8
[4] Chen, D. – Batson, R. – Dang, Y.: Applied Integer Programming: Modeling and Solution. Wiley, 2011, ISBN: 978-0-470-37306-4
[5] Jónás, T. – Tóth, Z. E. – Dombi, J.: A knowledge discovery-based approach to long-term forecasting of demand for electronic spare parts in 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, 2015, pp. 291–296.
[6] Lorena, L. A. N. – Narciso, M. G.: Relaxation heuristics for a generalized assignment problem. European Journal of Operational Research, 1996, 91(3) pp. 600–610.
[7] Ali Hajiesmaeili – Mehdi Rahimi – Ehsan Jaberi – Amir Abbas Hosseini: Studying the Influence of Logistics on Organizational Performance through a Supply Chain Strategy: Case Study in Goldiran Electronics Co. in International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, World Academy of Science, Engineering and Technology. April 2016, vol. 112(4), pp. 1061–1069. Available from: http://waset.org/publications/10004008
[8] Tamás Hartványi – Ferenc Tóth: What Helps To Drive Success Behind Company Supply Chain in International Conference on Value Chain Sustainability ICOVACS 2012, Izmir, Turkey, 13-15 December 2012, pp. 179-187, ISBN 978-975-8789-50-4 (Publising Date: March 2013)