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Suparno Suparno
Department of Industrial and Systems Engineering Institut Teknologi Sepuluh Nopember, Surabaya
Computer Science & IT

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A Model of Supplier Selection Under Vendor Managed Inventory Contract Zabrina Masud Mangka; Suparno Suparno; Erwin Widodo
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11134

Abstract

VMI is the main concept for gaining accurate information and information sharing from customers to suppliers to achieve low safety stock levels, efficient inventory cost, and a reduction of ordering cost. There are many suppliers who supply spare part products under the VMI contract. Therefore, the company needs to make a decision for selecting a qualified supplier in order to improve customer service level and customer satisfaction. In addition, the uncertainty and vagueness of the expert's opinion is the prominent characteristic of the problem. Therefore an extensively used multi-criteria decision-making tool AHP can be utilized as an approach for supplier selection problems. This paper reveals the application of AHP model determining the best supplier with respect to selected criteria for selecting the best supplier under the VMI contract among the alternatives. There are criteria in this study namely quality, price, delivery, service, supplier’s background, and Information technology which include thirty subcriteria covers in the VMI contract. This research might be identified the critical criteria for supplier selection under the VMI contract.
The Proposed Model of Suppliers Performance Measurement for Vendor Held Stock (VHS) in Mining Industry Sri Wahyuni; Suparno Suparno; Iwan Vanany
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11129

Abstract

Vendor Held Stock (VHS) is the storage and management a system for spare parts and other material must prepared and managed with the suppliers in case study. The case study in this research is in nickel mining company in Indonesia. The company’s case study requires all suppliers should provide the spare parts and other materials in their warehouses. The purpose of this study is to develop VHS supplier’s performance measurement system in case study. The key performance indicators (KPI’s) in VHS’s supplier performance measurement system are determined to ensure the buyer demand can be fulfilled in a timely, systematic and well organized with the correct quantity and maintained quality. The method used in measuring supplier performance is a combination of the Analytical Hierarchy Process (AHP), The Objective Matrix (OMAX) and Fishbone Diagram Methods. The results of this research are expected to obtain measurement models and find the root cause and solutions to the current problem to improve overall supplier performance.
Operational Risk Management Design In The Indonesia Mining Growth Program (P3I) Using House Of Risk Method Mangasa Siregar; Suparno Suparno
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11153

Abstract

The Indonesia Mining Growth Program (P3I) is a development project activity for nickel Mining Enterprise and Processing Plant in the "X" Region in Sulawesi. This research will design a risk management framework for P3I by implementing Enterprise Risk Management (ERM). In this study, the method is used to analyze the potential operational risks that exist in P3I namely the House of Risk (HOR) model. The results of the identification of risk events in the operational business processes of P3I found 25 risk events divided into each business process, namely 8 risk events in the mine planning process, 7 risk events in the design implementation process, 8 risk events in the production process, 1 risk event in the product delivery process and 1 risk event in the process of returning waste from Processing Plant. Thus, the results of the identification of risk triggers (risk agents) found 23 risk causes (risk agents). The result of the Aggregate Risk Potential (ARP) recapitulation is an output calculation based on the HOR model phase 1, there are 7 top-ranked risk agents since it is considered to be able to hamper the company's goals. Thus, in determining the preventive actions, 17 preventive actions were obtained, which were then put into the HOR phase 2 model to rank the most effective prevention measures based on cost and resources.
Co-Authors Erwin Widodo Iwan Vanany Mangasa Siregar Sri Wahyuni Zabrina Masud Mangka