Sahbudin Sahbudin
ABSTRACT
PT. United Tractors tbk is PT. Astra International tbk group subsidiary in Indonesia. Construction machinery as one of major business unit of PT. United Tractors tbk offers sales various types of heavy equipment and transportation vehicles as well as their sparepart, attachment and the related services. In providing heavy equipment and transportation unit after- sales support and service level to it's customer, PT. United Tractors tbk has more than two hundred Distribution Center (DS) or Warehouses of unit sparepart in all Indonesia big island. Inventory accuracy in warehouse is one of the most important things to control in balance to achieve optimal service level set by customer. One common activity in controlling balance of inventory in warehouse is stock opname. Stock opname or stock taking is the event or activity that counting the amount of stock in the warehouse and as the instrument to make sure that there is no discrepancy between actual stock in the warehouse and actual stock on database. This is a real issue PT. United Tractors tasked with maintaining and controlling inventory is faced with. If not avoided or detected, warehouse stock discrepancy will bring about various damaging results such as loss of sales, customer dissatisfaction and build-up of stocks which lead to increase inventory cost. There have been many discrepancy cause identified in the scope of research related to inventory accuracy in warehouse but most of the research is only carried out certain aspect of warehouse such as operation, man power management, facilities, etc. It is, therefore, the intention of this research is to address aspect causing warehouse stock discrepancy problem in many aspects of warehouse management by identifying root cause based on literature and validation of warehouse practitioner expertise. The result revealed that there are 6 aspects that affected to warehouse stock discrepancy : (1) operational excellence, (2) man power management, (3) warehouse management system (4) machine and facility reliability, (5) policy and top management, (6) environment and external factors.
- Richard, G. (2014), “Warehouse management : A complete guide to improving efficiency and minimizing costs in the modern warehouse”, Second edition.Google Scholar
- Basri, M., H. (2018). “Operations Strategy for Decreasing Stock Takinng Discrepancy in PT.Akashi Wahana Indonesia” The 3rd International Conference on Management in Emerging Markets (ICMEM 2018)Google Scholar
- Yun Kang & Stanley B. Gershwin (2005) “Information inaccuracy in inventory systems: stock loss and stockout”, IIE Transactions, 37:9, 843-859, DOI: 10.1080/07408170590969861Google ScholarCross Ref
- R. F. RinehartSource : “Operations Research”, Vol. 8, No. 4 (Jul. - Aug., 1960), pp. 543-564Google Scholar
- Tzionas, P. and Maria,D. “Investigating the impact of inventory inaccuracy on the bullwhip effect in RFID-enabled supply chains using colored petri nets.” Journal of Modelling in Management Vol. 14 No. 2, 2019 pp. 360-384.Google Scholar
- Sari, K. (2008), “Inventory inaccuracy and performance of collaborative supply chain practices”, Industrial Management & Data Systems Vol. 108 No. 4, 2008 pp. 495-509.Google ScholarCross Ref
- DeHoratius, N and Raman, A. (2004), “Inventory record inaccuracy: an empirical analysis”, Management Science , Apr., 2008, Vol. 54, No. 4 (Apr., 2008), pp. 627-641Google Scholar
- Zadeh, H, A, and Sharda, R. (2015), “Inventory record inaccuracy due to theft in production-inventory systems”, Int J Adv Manuf Technol (2016) 83:623–631.Google Scholar
- Tellkamp, C and Fleisch (2004), “Inventory Inaccuracy and Supply Chain Performance: A Simulation Study of a Retail Supply Chain” Article in International Journal of Production Economics · March 2005Google Scholar
- Sari, K. (2015), “Investigating the value of reducing errors in inventory information from a supply chain perspective” Kybernetes Vol. 44 No. 2, 2015 pp. 176-185Google ScholarCross Ref
- Selma Khader, Yacine Rekik, Valérie Botta-Genoulaz & Jean-Pierre Campagne (2014) Inventory management subject to multiplicative inaccuracies, International Journal of Production Research, 52:17, 5055-5069Google ScholarCross Ref
- Yacine Rekik & Evren Sahin (2012) Exploring inventory systems sensitive to shrinkage – analysis of a periodic review inventory under a service level constraint, International Journal of Production Research, 50:13, 3529-3546.Google ScholarCross Ref
- Yacine Rekik, Aris Syntetos, Zied Jemai, An e-Retailing Supply Chain Subject to Inventory Inaccuracies, Int. J. Production EconomicsGoogle Scholar
- Feng Tao, Tijun Fan, Yao-Yu Wang & Kin Keung Lai (2019): Joint pricing and inventory strategies in a supply chain subject to inventory inaccuracy, International Journal of Production ResearchGoogle Scholar
- R. F. RinehartSource: Operations Research, Vol. 8, No. 4 (Jul. - Aug., 1960), pp. 543-564Google Scholar
- Ballard, R.,L.(1996) “Methods of inventory monitoring and measurement “Logistics Information Management Volume 9 · Number 3 · 1996 · pp. 11–18Google Scholar
- Cidal, G., Y., Cimbek, Y., Karahan, K., Böler., Özkardeşler, O. and Üvet, H. (2020). “A Study on the Development of Semi Automated Warehouse Stock Counting System” 978-1-7281-3910-4/19/$31.00 ©2019 IEEEGoogle Scholar
- Abushaikha, I., Salhieh, L., and Towers, N. (2018). “Improving distribution and business performance through lean warehousing” International Journal of Retail Distribution Management Vol. 46 No. 8, 2018 pp. 780-800Google ScholarCross Ref
- Kim,T, Y., Dekker, R and Heij, C. (2017). “Improving warehouse labour efficiency by intentional forecast bias” International Journal of Physical Distribution & Logistics Management Vol. 48 No. 1, 2018 pp. 93-110Google ScholarCross Ref
- Sharma, S, and Shah, Bhavin. (2015). “Towards lean warehouse : transformation and assessment using RTD and ANP” International Journal of Productivity and Performance Management Vol. 65 No. 4, 2016 pp. 571-599Google ScholarCross Ref
- Bruccoleri, M., Cannella, S, and Porta, L., G. (2014). “Inventory record inaccuracy in supply chains: the role of workers’ behavior” International Journal of Physical Distribution & Logistics Management Vol. 44 No. 10, 2014 pp. 796-819Google ScholarCross Ref
- Karaesmen, F., Uckun, C, and Savas, S. (2008). “Investment in improved inventory accuracy in a decentralized supply chain” International Journal of production economics Int. J. Production Economics 113 (2018) 546-566Google Scholar
- Wang, R., Lee, C., J, and Hsu, S., C. (2020). “Preventing or encouraging illegal activities by construction firm : effect of top management team compensation and aspiration-performance discrepancies” Engineering, Construction and Architectural Management © Emerald Publishing Limited 0969-9988 DOI 10.1108/ECAM-08-2019-0440Google Scholar
- Fornander, D, and Lindberg, P. (2013). “Inventory reduction: an analysis on finished goods inventory focused on “Released to Warehouse” leadtime” Master of Science Thesis in the Master degree program Supply Chain Management, Chalmers University of TechnologyGoogle Scholar
Recommendations
Two-warehouse partial backlogging inventory model for deteriorating items with linear trend in demand under inflationary conditions
In today's business transactions, there are various reasons, namely, bulk purchase discounts, re-ordering costs, seasonality of products, inflation induced demand, etc., which force the buyer to order more than the warehouse capacity. Such situations ...
One-Warehouse Multiretailer Systems with Centralized Stock Information
We consider a distribution system with a central warehouse and multiple retailers. The warehouse orders from an outside supplier and replenishes the retailers which in turn satisfy customer demand. The retailers are nonidentical, and their demand ...
Alliance Rules for Data Warehouse Cleansing
ICSPS '09: Proceedings of the 2009 International Conference on Signal Processing SystemsData Cleansing is an activity performed on the data sets of data warehouse to enhance and maintain the quality and consistency of the data. This paper addresses the problems related with dirty data, entrance of dirty data and detection of dirty data in ...
Comments