The Effects of Demand-Forecast Fluctuations on Customer Service and Inventory Cost When Demand is Lumpy

1987 ◽  
Vol 38 (1) ◽  
pp. 75 ◽  
Author(s):  
Richard B. Watson
Keyword(s):  
Customer Service ◽  
Demand Forecast ◽  
Inventory Cost

scholarly journals Usulan Perencanaan dan Pengendalian Persediaan Bahan Baku Menggunakan Metode Lot Sizing pada Pabrik Mebel

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Mirna Lusiani ◽  
Willy Sandi
Keyword(s):  
Inventory Control ◽  
Lot Sizing ◽  
Raw Materials ◽  
Order Quantity ◽  
Production Schedule ◽  
Demand Forecast ◽  
Inventory Cost ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Master Production Schedule

<p>This research discusses the planning and inventory control of raw materials in PT Rackindo Setara Perkasa which is one of the manufacturer in Indonesia which is engaged in the industry of knock-down furniture. The purpose of this study is to planning and controlling the inventory of raw materials with the lowest cost. The research is conducted to develop demand forecast in 2016, to develop the aggregate planning using LINGO software, then continued in the design of the Master Production Schedule (MPS) and Material Requirement Planning (MRP). This research discusses the comparison of several methods of Lot Sizing in MRP, such as the Economic Order Quantity (EOQ), Period Order Quantity (POQ) and Least Total Cost (LTC). The selected Lot Sizing method is a method with the lowest inventory cost.</p><p>Keywords: Inventory Control, Forecasting, Aggregate Planning, Lot Sizing, Master Production Schedule, Material Requirement Planning</p>

Modeling of an Inventory System with Variable Demands and Lead Times using a Fuzzy Approach

2016 ◽  
pp. 133-151
Author(s):  
Vijay Kumar ◽  
Pravin Kumar
Keyword(s):  
Customer Service ◽  
Lead Time ◽  
Service Level ◽  
Research Topic ◽  
Lead Times ◽  
Inventory Cost ◽  
Safety Stock ◽  
Customer Service Level ◽  
Optimum Order ◽  
Total Inventory

Inventory modeling has always been an innovative research topic for the researchers. It is concerned with minimization of the total inventory cost and maximization of the service level with minimum inventory. In the real world, the demand is always variable; and also the lead time of supply of an item cannot be always fixed due to some unavoidable circumstances. This chapter is focused on an inventory model with shortages where demand quantity and lead time are considered as variable and represented by triangular fuzzy numbers. An expression for optimum order size, reorder point, safety stock and fuzzy total safety stock cost is developed for a fixed customer service level. This model may help the manager to minimize the inventory cost with a maximum service level under the environment of uncertainty and vague information.

"Service With a Smile, Regardless": Emotions and Customer Service Work

2006 ◽  
Author(s):  
Steffanie L. Wilk ◽  
Nancy P. Rothbard ◽  
Theresa M. Glomb
Keyword(s):  
Customer Service ◽  
Service Work
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