International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 10, No. 5, 8 Sep. 2018
Cover page and Table of Contents: PDF (size: 623KB)
A Cost Measurement System of Logistics Process
Full Text (PDF, 623KB), PP.23-29
Views: 0 Downloads: 0
Author(s)
Index Terms
Sustainable Logistics, Economic parameters, Logistics process, Ecological parameters, Social parameters, Measurement system
Abstract
Because logistic is a process-oriented business, we propose in this paper a measurement system of decision support for assessing the costs associated with each logistics process. This system allows calculating economic, environmental and social costs of logistics process to ensure a sustainable logistics. We have formulated the problem and we present some simulation for testing our system. This proposition allows the decision-maker to have knowledge of economic, ecological and social cost before making a decision.
Cite This Paper
Zine Benotmane, Ghalem Belalem, Abdelkader Neki, "A Cost Measurement System of Logistics Process", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.10, No.5, pp. 23-29, 2018. DOI:10.5815/ijieeb.2018.05.04
Reference
[1]Abduaziz O, Cheng J K, Mat Tahar R, Varma R. A hybrid Simulation model for Green Logistics Assessment in Automotive Industry. The 25th International Symposium on Intelligent Manufacturing and Automation, DAAAM'2014, Vienna, Austria, 2014.
[2]Boukherroub T, Ruiz A, Guinet A, Fondrevelle J. An integrated approach for sustainable supply chain planning. Computers & Operations Research, 2015, 54: 180-194.
[3]Dubey R, Bag S, Ali S S. Green supply chain practices and its impact on organisational performance: an insight from Indian rubber industry. Int. J. of Logistics Systems and Management, 2014, 19(1): 20-42.
[4]Luthra S, Qadri M A, Garg D, Haleem A. Identification of critical success factors to achieve high green supply chain management performances in Indian automobile industry. Int. J. of Logistics Systems and Management, 2014, 18(2): 170-199.
[5]Mangla S, Madaan J, Sarma P R S, Gupta M P. Multi-objective decision modelling using interpretive structural modelling for green supply chains. Int. J. of Logistics Systems and Management, 2014, 17(2): 125-142.
[6]Mutingi M, The impact of reverse logistics in green supply chain management: a system dynamics analysis. International Journal of Industrial and Systems Engineering, 2014, 17(2): 186-201.
[7]Pochampally K K, Nukala S, M. Gupta S. Eco-procurement strategies for environmentally conscious manufacturers. Int. J. of Logistics Systems and Management, 2009, 5(1/2): 106-122.
[8]Shaharudin M R, Zailani S, Ismail M. Third-party logistics strategic orientation towards the reverse logistics service offerings. International Journal of Management Practice, 2015, 8(4): 356-374.
[9]Tao S, Hu Z.H, Sheng Z H. Greening flow allocation in logistics network based on a two-stage algorithm. International Journal of Applied Decision Sciences, 2015, 8(3): 223-240.
[10]Ting P.H. An Efficient and Guaranteed Cold-Chain Logistics for Temperature-Sensitive Foods: Applications of RFID and Sensor Networks, International Journal of Information Engineering and Electronic Business (IJIEEB), 2013, 5(6): 1-5.
[11]Grebennik I, Dupas R, Lytvynenko O, Urniaieva I. Scheduling Freight Trains in Rail-rail Transshipment Yards with Train Arrangements, International Journal of Intelligent Systems and Applications(IJISA), 2017, 9(10): 12-19.
[12]Weihua G, Yuwei Z, Tingting Z. Research on RFID Application in the Pharmacy Logistics System, International Journal of Education and Management Engineering (IJEME), 2012, 2(8): 13-19.
[13]Benotmane Z, Belalem G, Neki A. Towards a cloud computing in the service of green logistics. Int. J. of Logistics Systems and Management, 2018, 29(1): 470-483.
[14]Benotmane Z, Belalem G, Neki A. A cloud computing model for optimization of transport logistics process, Transport and Telecommunication, 2017 18(3): 194-206.