On the single item multi-supplier system with variable lead-time, price-quantity discount, and resource constraints

2006 ◽  
Vol 182 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Ching-Ter Chang ◽  
Chen-Lung Chin ◽  
Mei-Feng Lin
Keyword(s):  
Lead Time ◽  
Resource Constraints ◽  
Quantity Discount ◽  
Single Item ◽  
Time Price

Single-item lot-sizing with quantity discount and bounded inventory

2021 ◽  
Author(s):  
Douglas G. Down ◽  
George Karakostas ◽  
Stavros G. Kolliopoulos ◽  
Somayye Rostami
Keyword(s):  
Lot Sizing ◽  
Quantity Discount ◽  
Single Item

scholarly journals Single Item Supplier Selection and Order Allocation Problem with a Quantity Discount and Transportation Costs

2020 ◽  
Vol 12 (1) ◽  
pp. 20-38
Author(s):  
Getachew Basa ◽  
Till Becker ◽  
Abdelkader Kedir
Keyword(s):  
Supplier Selection ◽  
Lot Sizing ◽  
Transportation Cost ◽  
Transportation Costs ◽  
Mixed Integer ◽  
Nonlinear Program ◽  
Order Allocation ◽  
Quantity Discount ◽  
Numerical Illustration ◽  
Single Item

In this paper, we address a single item supplier selection, economic lot-sizing, and order assignment problem under quantity discount environment and transportation costs. A mixed-integer nonlinear program (MINP) model is developed with minimization of cost as its objective, while lead-time, the capacity of the supplier and demand of the product are incorporated as constraints. The total cost considered includes annual inventory holding cost, ordering cost, transportation cost and purchase cost. An efficient and effective genetic algorithm (GA) with problem-specific operators is developed and used to solve the proposed MINP model.  The  model is illustrated through a numerical example and the results show that the GA can solve the model in less than a minute. Moreover, the results of the numerical illustration show that the item cost and transportation cost are the deciding factors in selecting suppliers and allocating orders. Keywords: Supplier selection, Economic Order Quantity, Order allocation, Mixed-integer nonlinear programming.

Modeling Simulation and Optimization Study of Fresh Seafood Inventory Ordering Policies Based on Witness

2012 ◽  
Vol 461 ◽  
pp. 541-546
Author(s):  
Zhao Hua Tan ◽  
Ya Hui Zhang
Keyword(s):  
Lead Time ◽  
Inventory Cost ◽  
Simulation And Optimization ◽  
Price Discounts ◽  
Optimization Study ◽  
Total Inventory ◽  
Ordering Policies ◽  
Time Price ◽  
The Cost ◽  
Variation Trends

It is possible to reduce the inventory cost by choosing the proper ordering policies. Considering the distinctive nature of perishable products, it is much more important to control the inventory levels properly. In this paper, we select the fresh seafood as the object of our study and build a simulation model based on Witness to analyse the inventory cost. In the model, we consider constraint conditions such as replenishment lead time, price discounts and so on. We also analyse the variation trends of total inventory cost together with the changes of parameters in three models with different ordering policies and obtain the parameters of the optimum policy by comparing the cost in that three models.

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