Advancing stock policy on repairable, intermittently-demanded service parts

2019 ◽  
Vol 71 (9) ◽  
pp. 1437-1447
Author(s):  
Greg H. Gehret ◽  
Jeffery D. Weir ◽  
Alan W. Johnson ◽  
David R. Jacques
Keyword(s):  
Service Parts ◽  
Stock Policy

Heuristic analyses of separate and bundling sales for complimentary products under consignment stock policy

2021 ◽  
pp. 107297
Author(s):  
M. Hemmati ◽  
S.M.J. Mirzapour Al-e-Hashem ◽  
S.M.T. Fatemi Ghomi
Keyword(s):  
Stock Policy

A new approach to forecasting intermittent demand for service parts inventories

2004 ◽  
Vol 20 (3) ◽  
pp. 375-387 ◽  
Author(s):  
Thomas R. Willemain ◽  
Charles N. Smart ◽  
Henry F. Schwarz
Keyword(s):  
Intermittent Demand ◽  
New Approach ◽  
Service Parts

Optimality of Base Stock Policy under Unknown Demand Distributions: New Results and a New Method

2021 ◽  
Author(s):  
Alain Bensoussan ◽  
Suresh Sethi ◽  
Abdoulaye Thiam ◽  
Janos Turi
Keyword(s):  
Base Stock ◽  
New Method ◽  
Base Stock Policy ◽  
Stock Policy

scholarly journals Validating Virtual Safety Stock Effectiveness through Simulation

10.5772/56859 ◽  
2013 ◽  
Vol 5 ◽  
pp. 41 ◽  
Author(s):  
Maria Elena Nenni ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Service Level ◽  
Inventory System ◽  
Time Interval ◽  
Common Condition ◽  
Simple Method ◽  
Safety Stock ◽  
Safety Stocks ◽  
Base Stock Policy ◽  
Stock Policy ◽  
Business To Business

As a means of avoiding stock-outs, safety stocks play an important role in achieving customer satisfaction and retention. However, traditional safety stock theory is based on the assumption of the immediate delivery of the ordered products, which is not a common condition in business-to-business contexts. Virtual safety stock theory was conceived to raise the service level by exploiting the potential time interval in the order-to-delivery process. Nevertheless, its mathematical complexity prevented this technique from being widely adopted in the industrial world. In this paper, we present a simple method to test virtual safety stock effectiveness through simulation in an inventory system using a base stock policy with periodic reviews and backorders. This approach can be useful for researchers as well as practitioners who want to model the behaviour of an inventory system under uncertain conditions and verify the opportunity for setting up a virtual safety stock on top of, or instead of, the traditional physical safety stock.

scholarly journals A consignment stock policy for a two-level supply chain with imperfect quality items

2021 ◽  
Author(s):  
Ehab A. Bazan
Keyword(s):  
Supply Chain ◽  
Production Process ◽  
Supply Chain Coordination ◽  
Secondary Market ◽  
Batch Size ◽  
Imperfect Production ◽  
Managerial Decisions ◽  
Imperfect Items ◽  
Imperfect Production Process ◽  
Stock Policy

A consignment stock is a type of supply-chain coordination for the management of supply-chains in which there is a joint vendor and buyer policy that is mainly focused on having the vendor manage the buyer's inventory. This thesis aims to investigate the consignment stock strategy in a single-vendor single-buyer supply-chain context considering imperfect items that may be produced from an imperfect production process. It develops a flexible mathematical model that allows for managerial decisions with regards to imperfect items and seeks to minimize costs (maximize profits) of the supply-chain. Such managerial decisions include scrapping items at a cost, selling them for a marginal profit to a secondary market, applying re-work, and/or applying minor setups to restore the production process. Results show that the introduction of imperfect items increases the batch size and reduces the number of shipments. Minor setups were shown to reduce cost, increase the number of shipments and reduce its size.

scholarly journals Dynamic Pricing Policy Using Preservation Technology with Stock and Price Sensitive Demand

2020 ◽  
Vol 26 (3) ◽  
pp. 266-274
Author(s):  
Uttam Kumar Khedlekar ◽  
Priyanka Singh ◽  
Neelesh Gupta
Keyword(s):  
Dynamic Pricing ◽  
Policy Decision ◽  
Pricing Strategy ◽  
Selling Price ◽  
Market Demand ◽  
Pricing Policy ◽  
Preservation Technology ◽  
Proposed Model ◽  
Stock Policy ◽  
Dependent Demand

This paper aims to develop a dynamic pricing policy for deteriorating items with price and stock dependent demand. In declining market demand of items decreases with respect to time and also after a duration items get outdated. In this situation it needs a pricing policy to sale the items before end season. The proposed dynamic pricing policy is applicable for a limited period to clease the stock. Policy decision regarding the selling price could aggressively attracts the costumers. Objectives are to maximize the prot/revenue, pricing strategy and economic order level for such a stock dependent and price sensitive items. We are giving numerical example and simulation to illustrate the proposed model.

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