A Survey on Supply Planning Under Uncertainties in MRP Environments

Dolgui, Alexandre; Louly, A.; Prodhon, Caroline

doi:10.3182/20050703-6-cz-1902.01426

Cited by 11 publications

(5 citation statements)

References 60 publications

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“…Donderwinkel [34] describes several OTIF failures, including the absence of ready-to-ship stock in the warehouse; problems with tools and production equipment; outspec quality of the final product; delay in the delivery or quality issues of raw materials; unavailability of vessel space; changes in delivery; miscommunication with the buyers regarding goods availability and delivery schedule; and the late prepayments (payment in advance before the realization of shipment). By considering the high demand of GRTO and shipments are carried out from several different warehouses, an Informatics Technology application called Enterprise Resource Planning (ERP) equipped with an inventory control system based on the Material Requirement Planning (MRP) approach is suggested to be used by Perhutani as a company with complex organizational structures [35]. Monthly safety stock or safe inventory can be predicted using sales history data combined with future demand forecasts.…”

Section: Discussionmentioning

confidence: 99%

Enhancing Operational Performance of Indonesia Pine Chemical Industry Through Delivery Improvement

Siregar¹,

Suroso²,

Siregar³

et al. 2022

IJSDP

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Pine chemical products, namely gum rosin and turpentine oil have become one of the main exported non-timber forest products (NTFPs) from Indonesia. As the biggest pine chemical producer in Indonesia, a State Owned Enterprise named Perum Perhutani is required to operate at its optimum capability. Hence, this study aims to identify and measure some dimensions of operational capability that have the most influence on increasing the export performance of Perhutani. The data are collected through online survey from 207 Perhutani employees who work in pine chemical production lines. Four-point Likert Scale questionnaires are employed to collect the data regarding respondent’s perception on seven dimensions of operational capability, namely Cost, Quality, Delivery, Flexibility, Service, Innovation, and Sustainability. R statistics software is selected to run the tests. By adopting Tukey HSD, a multiple pairwise-comparison technique, Delivery is rated as the most important dimension to enhance export performance. It is significantly proven to have the highest mean score. Another finding indicates that Delivery is found to have fair to moderate correlation to other dimension which directly involved in supply chain activities, i.e. Cost, Quality, Flexibility, and Service. Therefore, this study demonstrates a need for Perhutani top management to set minimum and expected targets of some key indicators of Delivery performance such as on-time delivery, delivery accuracy, length of lead-time, and safe inventory level. The higher the rate of on-time and in-full (OTIF) delivery fulfilled, the higher the opportunity to achieve a better export performance of pine chemical products.

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Section: Discussionmentioning

confidence: 99%

Enhancing Operational Performance of Indonesia Pine Chemical Industry Through Delivery Improvement

Siregar¹,

Suroso²,

Siregar³

et al. 2022

IJSDP

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“…Another multiperiod model is proposed in Gurnani et al (1996) for assembly systems with two types of components and the lead time probability distributions are limited to two periods. For comprehensive reviews of the literature on the other models which can be used for MRP parameterization under uncertainties see Yeung et al (1998), Dolgui et al (2005) and Mula et al (2006).…”

Section: Related Workmentioning

confidence: 99%

Optimal supply planning in MRP environments for assembly systems with random component procurement times

Louly

Dolgui

Hnaien

2008

International Journal of Production Research

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This paper examines supply planning in an MRP environment for assembly systems under lead time uncertainties. Indeed, inventory control in a supply chain is crucial for companies who wish to satisfy their customer demands on time as well as controlling costs. A common approach is to use the MRP techniques. However, these techniques are based on the supposition that lead times are known. In an actual supply chain the lead times are often random variables. Therefore, we develop an efficient exact model to aid in MRP parameterization under lead time uncertainties, more precisely to calculate planned lead times when the component procurement times are random. The aim is to find the values of planned lead times which minimize the sum of the average component holding cost and the average backlogging cost. The developed approach is based on a mathematical model of this problem with discrete decision variables and a branch and bound algorithm.

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“…For comprehensive reviews of the literature on the other models which can be used for MRP parameterization under uncertainties see (Yeung et al, 1998;Dolgui et al, 2005;Mula et al, 2006).…”

Section: Related Workmentioning

confidence: 99%

An Approach for the MRP Parameterization Under Lead Time Uncertainty: Branch and Cut Algorithm

Dolgui

Ould-Louly

2008

IFAC Proceedings Volumes

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A Survey on Supply Planning Under Uncertainties in MRP Environments

Cited by 11 publications

References 60 publications

Enhancing Operational Performance of Indonesia Pine Chemical Industry Through Delivery Improvement

Enhancing Operational Performance of Indonesia Pine Chemical Industry Through Delivery Improvement

Optimal supply planning in MRP environments for assembly systems with random component procurement times

An Approach for the MRP Parameterization Under Lead Time Uncertainty: Branch and Cut Algorithm

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