A simple procedure for determining order quantities under a fill rate constraint and normally distributed lead-time demand

2006 ◽  
Vol 174 (1) ◽  
pp. 480-491 ◽  
Author(s):  
Sven Axsäter
Keyword(s):  
Lead Time ◽  
Simple Procedure ◽  
Fill Rate ◽  
Order Quantities ◽  
Normally Distributed

Inventory Cost Optimization with Normally Distributed Lead Time and Stochastic Demand Considering Fill Rate

2017 ◽  
Vol 8 (12) ◽  
pp. 1284-1291
Author(s):  
Md. Ashiful Alam ◽  
Zahid Hasan ◽  
Syed Al Furkan Siam ◽  
A. K. M. Tasfiq Abedin ◽  
Nasib Al Habib
Keyword(s):  
Lead Time ◽  
Cost Optimization ◽  
Stochastic Demand ◽  
Inventory Cost ◽  
Fill Rate ◽  
Normally Distributed

scholarly journals The exact fill rate in a periodic review base stock system under normally distributed demand

Omega ◽  
2011 ◽  
Vol 39 (3) ◽  
pp. 346-349 ◽  
Author(s):  
Edward A. Silver ◽  
Diane P. Bischak
Keyword(s):  
Base Stock ◽  
Periodic Review ◽  
Fill Rate ◽  
Normally Distributed

scholarly journals A Simulation-Based Model for Determining Safety Inventory at a Fixed-time Period System

2019 ◽  
Vol 8 (12) ◽  
pp. 2775-2780
Keyword(s):  
Lead Time ◽  
Fixed Time ◽  
Service Level ◽  
Microsoft Excel ◽  
Time Period ◽  
Simulation Based ◽  
Period System ◽  
Daily Forecast ◽  
Visual Basic Application ◽  
Normally Distributed

This paper develops a simulation model for determining safety inventory associated with a certain value of cycle service level in a fixed-time period system. The model takes into account actual amount of materials received from suppliers, and deviation from probability distribution of daily forecast demand. Constraints on order size are also embodied into the model. This model was constructed by using Visual Basic Application added in Microsoft Excel. After developing the model, hypotheses testing is employed to verify the model. This model allows identifying safety inventory under uncertain conditions which prohibits from the use of ordinary mathematical formula. The model was locally verified. Stochastic variables including customer demand and supplier’s lead time are assumed to be normally distributed. Independent demand items are considered and backorders are not allowed. Under specific conditions, such as distributions of demand and lead time are normally distributed, and fixed-time period system is being used. This model allows materials planner promptly identifies safety inventory associated with a certain level of cycle service level. Furthermore, planner can perceive the affects of changing input parameters on the amount of safety inventory required. There were very few researches focus on variations of demand and lead time at the same time. In reality, this case usually happens, thus the firms have been facing highly variations form both supplier and customers. Therefore, this paper intends to close this gap by simulating these factors and taken into account for determining safety inventory.

Order quantities for perishable inventory control with non-stationary demand and a fill rate constraint

2016 ◽  
Vol 181 ◽  
pp. 238-246 ◽  
Author(s):  
Karin G.J. Pauls-Worm ◽  
Eligius M.T. Hendrix ◽  
Alejandro G. Alcoba ◽  
René Haijema
Keyword(s):  
Inventory Control ◽  
Fill Rate ◽  
Perishable Inventory ◽  
Order Quantities

scholarly journals Framing Antecedents of the Last Mile Omni-Channel Distribution for the Retail Apparel Group

2021 ◽  
Author(s):  
Thokozani Patmond Mbhele ◽  
Sanjana Rambaran
Keyword(s):  
Customer Service ◽  
Lead Time ◽  
Distribution Networks ◽  
Quantitative Methodology ◽  
Fill Rate ◽  
Channel Distribution ◽  
Last Mile ◽  
Brick And Mortar ◽  
Order Fulfilment ◽  
The Right

Abstract The last mile has to deliver the goods at the right time and at the right cost for business logistics services to enhance the customer service experience. The objective of this paper is to examine the challenges of retail omni-channel distribution influencing the effective last mile fulfilment operations processes in the apparel group (organisation phase). It further establishes the extent of how the last mile for demand-driven store replenishment influences the level of retailers’ order fulfilment (in full and on time) (environment phase). This paper, persistently assesses the contribution of integrated information systems on brick and mortar and virtual omni-channel distribution networks to improve timeousness, order accuracy and fill rate (technology phase). The mixed method has triangulated the methods from both quantitative methodology using frequencies and binomial testing and subjective thematic analysis of qualitative data from interviewees. The sample of 175 questionnaires were received with a response rate is 85 per cent (148 responses). The main findings of the paper revealed that the current order fulfilment process aligned with the last mile is effective on the basis of the fill rate, lead time and order condition of orders delivered via store economy and store express.

Strategies for achieving customer order flexibility – supplier perspective

2021 ◽  
Vol 32 (9) ◽  
pp. 396-413
Author(s):  
Helena Forslund ◽  
Stig-Arne Mattsson
Keyword(s):  
Lead Time ◽  
Raw Materials ◽  
Operational Flexibility ◽  
Supplier Relationships ◽  
Content Type ◽  
Continuous Contact ◽  
Customer Order ◽  
Order Quantities ◽  
Remedial Strategies ◽  
Practical Implications

PurposeThe purpose of this study is to develop a framework of strategies to achieving customer order flexibility in and related to the order-to-delivery (OTD) process. The purpose is also to investigate how companies prioritize various strategies to achieve customer order flexibility.Design/methodology/approachBased on a literature review, pre-tests and conceptual reasoning, a conceptual framework of strategies related to the order-to-delivery process was developed. The strategies were linked to the order quantity and delivery lead-time flexibility dimensions. This structure resulted in six groups covering enabling as well as remedial strategies. An empirical interview study of ten customer–supplier relationships was conducted.FindingsThe interviews identified additional strategies, thereby expanding the framework. The enabling strategies with the highest median values were “have continuous contact with the customer's purchaser” and “use safety stock of raw materials/semi-finished products”. The remedial strategy with the highest median was “re-plan/re-prioritize the order backlog”. In the delivery sub-process, it was more common to apply remedial strategies for delivery lead-time than for order quantities.Research limitations/implicationsThe developed framework is a contribution to the literature on operational flexibility in and related to the OTD process. It complements existing knowledge by taking a supplier perspective.Practical implicationsSuppliers can use the framework as a tool to understand and systematically achieve better customer order flexibility in and related to the OTD process. Customers can use the framework as a checklist for supplier evaluation and supplier development.Originality/valueFew identified studies include empirical data on customer order flexibility.

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