Inventory Management with Transshipments Under Fill Rate Constraints

2014 ◽  
pp. 437-442 ◽  
Author(s):  
Andreas Serin ◽  
Bernd Hillebrand
Keyword(s):  
Inventory Management ◽  
Fill Rate ◽  
Rate Constraints

An inherent differentiation and system level assessment approach to inventory management

2019 ◽  
Vol 30 (2) ◽  
pp. 663-680 ◽  
Author(s):  
Patrik Jonsson ◽  
Stig-Arne Mattsson
Keyword(s):  
Inventory Management ◽  
Negative Impact ◽  
Positive Impact ◽  
System Level ◽  
Group Level ◽  
Fill Rate ◽  
Stock Performance ◽  
Safety Stock ◽  
Content Type ◽  
Rate Method

Purpose The purpose of this paper is to explain the effects of inherent differentiation and system level performance assessment in inventory management. This is done by comparing the performance of two common safety stock methods, by considering the methods’ inherent differentiation and item group-level performance effects. Design/methodology/approach Due to the lack of analytical relationships between the two methods, the analysis is based on event-driven simulations. Data are collected from eight different case companies. Findings explain the importance of assessing safety stock performance for groups of items and not for individual items, as is common in academic studies. It explains how the methods’ inherent differentiation and planning environment characteristics affect the relative performances of the two safety stock methods. Findings The study explains the importance of assessing performance of safety stock methods on a system-level, rather than on item-level measures. It explains why the demand fill-rate method has a negative impact on the performance for groups of items, while the number-of-days method has a positive impact. The study also explains how the group-level safety stock performance is affected by five demand data characteristics. Research limitations/implications The study explains the importance of assessing performance of safety stock methods on a system-level, rather than on item-level measures. It explains why the demand fill-rate method has a negative impact on the performance for groups of items, while the number-of-days method has a positive impact. The study also explains how the group-level safety stock performance is affected by five demand data characteristics. Practical implications Understanding the necessity of system level assessment of safety stock performance, how methods inherently differentiate service levels, and how demand characteristics affect methods’ performance can guide the choice of safety stock methods in companies. Originality/value No research on the characteristics of the number-of-days safety stock method, any assessment of differentiation characteristics of and comparison with the demand fill-rate method, has been published. The variable “inherent differentiation” is also introduced and defined.

VMI versus information sharing: an analysis under static uncertainty strategy with fill rate constraints

2016 ◽  
Vol 54 (13) ◽  
pp. 3978-3993 ◽  
Author(s):  
Devendra Choudhary ◽  
Ravi Shankar ◽  
M.K. Tiwari ◽  
Arun Kr. Purohit
Keyword(s):  
Information Sharing ◽  
Fill Rate ◽  
Rate Constraints

A Comparative Simulation Study about Supply Chain Inventory Management Strategies Based on System Dynamics

2014 ◽  
Vol 701-702 ◽  
pp. 1280-1285 ◽  
Author(s):  
Ling Yun Wei ◽  
Ming Xiang Wen ◽  
Xiao Guang Zhou
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Inventory Management ◽  
Simulation Study ◽  
Management Strategies ◽  
Simulation Models ◽  
Vendor Managed Inventory ◽  
Fill Rate ◽  
Total Cost ◽  
Inventory Strategy

This paper aims to compare benefits of Vendor Managed Inventory (VMI) system and Collaborative Planning, Forecasting, and Replenishment (CPFR) system based on (R,Q) inventory strategy. Four-stage supply chain models that are simulated by system dynamics (SD) methods will be used to support the comparison. In addition, factors of total cost for the whole supply chain (TSC) and product fill rate (fr) can assist to evaluate simulation models. The results of this study indicate that benefits and flexibility of CPFR appear to be higher than VMI under (R, Q) strategy, and key parameters have significant impacts on TSC of the two systems.

Sign in / Sign up

Export Citation Format

Share Document