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Designing Strategies for Inbound Logistics Performance Indicator Improvement in the Indonesian Mining Industry

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Published:25 November 2020Publication History

ABSTRACT

Inbound logistic activity in the mining company has an essential role in receiving, store, and disseminate input from suppliers to the point of use in production operations. In the case of one of the mining companies in Indonesia, inbound logistic performance has not yet reached the optimal target. This research builds an appropriate method to measure inbound logistic processes and then design strategies based on the results of the most critical performance indicators to improve performance indicators in the inbound logistic processes. The study begins with the collection of performance indicators and criteria for measuring the performance of the mining company's inbound logistic processes. The first questionnaire is filled and processed to determine the chosen performance indicators for the study. To assess the relationships among the performance indicators, the second questionnaire is filled. The results are then processed using Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) to confirm the causal relationship, identify the major performance indicators, and develop strategies accordingly. Based on the result, vessel capacity utilization (31.24%) is the first performance indicator that should be the priority, followed by material availability (12.18%), delivery cycle time (12.01%), and performance in making purchase orders (10.92%). The proposed strategies recommendations are container space optimization, a specialized standard operating procedure for fast-moving goods, implementation of Radio Frequency Identification (RFID) technology for each handling unit, and differentiation in purchasing strategy based on purchasing portfolio.

References

  1. Kementerian Keuangan Republik Indonesia 2018. APBNP kita: Kinerja dan fakta.Google ScholarGoogle Scholar
  2. Council of Supply Chain Management Professionals 2013. SUPPLY CHAIN MANAGEMENT. Supply chain management terms and glossary. Council of Supply Chain Management Professionals. 1--222.Google ScholarGoogle Scholar
  3. Porter, M.E. 1998. Competitive advantage: creating and sustaining superior performance - with a new introduction. Free Press.Google ScholarGoogle Scholar
  4. Partners in Performance 2016. PIP Speak.Google ScholarGoogle Scholar
  5. Panayides, P. et al. 2018. Measurement challenges of supply chain performance in complex shipping environments. Maritime Business Review. 3, 4 (2018), 431--448. DOI:https://doi.org/10.1108/MABR-07-2018-0021.Google ScholarGoogle ScholarCross RefCross Ref
  6. Bhagwat, R. and Sharma, M.K. 2009. An application of the integrated AHP-PGP model for performance measurement of supply chain management. Production Planning and Control. 20, 8 (2009), 678--690. DOI:https://doi.org/10.1080/09537280903069897.Google ScholarGoogle ScholarCross RefCross Ref
  7. Hafeez, J. et al. 2016. SCOR Implementation in Oil and Gas Company from an Emerging Market. International Journal of Operations Research and Information Systems. 8, 1 (2016), 93--107. DOI:https://doi.org/10.4018/ijoris.2017010105.Google ScholarGoogle Scholar
  8. Novar, M.F. et al. 2018. SCOR and ahp based monitoring dashboard to measure rice sourcing performance at Indonesian bureau of logistics. Proceeding of 2018 12th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2018. (2018), 1 -6. DOI:https://doi.org/10.1109/TSSA.2018.8708814.Google ScholarGoogle Scholar
  9. Wu, L. 2017. An integrated logistics performance measurement system for logistics management. University of Missouri-Columbia.Google ScholarGoogle Scholar
  10. Yang, J.L. and Tzeng, G.H. 2011. An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with Applications. 38, 3 (2011), 1417--1424. DOI:https://doi.org/10.1016/j.eswa.2010.07.048.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Chen, F.H. et al. 2011. A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP. International Journal of Hospitality Management. 30, 4 (2011), 908--932. DOI:https://doi.org/10.1016/j.ijhm.2011.02.001.Google ScholarGoogle ScholarCross RefCross Ref
  12. Supeekit, T. et al. 2016. DEMATEL-modified ANP to evaluate internal hospital supply chain performance. Computers and Industrial Engineering. 102, (2016), 318--330. DOI:https://doi.org/10.1016/j.cie.2016.07.019.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Mohapatra, R. et al. 2010. Reengineering of Logistics Value Chain of a Petroleum Products Marketing Company-Formulation of a Performance Measurement System. International Conference on Industrial Engineering and Operations Management (Dhaka, Jan. 2010). [19] Caniëls, M.C.J. and Gelderman, C.J. 2005. Purchasing strategies in the Kraljic matrix - A power and dependence perspective. Journal of Purchasing and Supply Management. 11, 2--3 (2005), 141--155. DOI:https://doi.org/10.1016/j.pursup.2005.10.004.Google ScholarGoogle Scholar
  14. Harpe, S.E. 2015. How to analyze Likert and other rating scale data. Currents in Pharmacy Teaching and Learning. 7, 6 (Nov. 2015), 836--850. DOI:https://doi.org/10.1016/j.cptl.2015.08.001.Google ScholarGoogle Scholar
  15. Salam, M.A. et al. 2015. Optimization of Container Utilization: A Case Study of Mekong Logistics Service Provide (MLSP) Company Mohammad. International Symposium on Logistics (Bolagna, 2015).Google ScholarGoogle Scholar
  16. Watfa, M.K. et al. 2013. RFID system implementation in Jebel Ali port. 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013 (2013), 950--955.Google ScholarGoogle Scholar
  17. Kadir, E.A. et al. 2015. RFID middleware for fast clearance in container terminal management system. 2015 3rd International Conference on Information and Communication Technology, ICoICT 2015. (2015), 478--481. DOI:https://doi.org/10.1109/ICoICT.2015.7231471.Google ScholarGoogle Scholar
  18. Kraljic, P. 1983. Purchasing Must Become Supply Management. Harvard Business Review.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Other conferences
      ICONETSI '20: Proceedings of the 2020 International Conference on Engineering and Information Technology for Sustainable Industry
      September 2020
      466 pages
      ISBN:9781450387712
      DOI:10.1145/3429789

      Copyright © 2020 ACM

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      Publication History

      • Published: 25 November 2020

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