One
of the most important responsibilities of a supply chain manager is to decide
“how much” (or “many”) of inventory items to order and how to transport them.
This paper presents four mixed-integer linear programming models to help supply
chain managers make these decisions for multiple products subject to multiple
constraints when suppliers offer quantity discounts and shippers offer freight
discounts. Each model deals with one of the possible combinations of all-units
and incremental quantity discounts and all-weight and incremental freight
discounts. The models are based on a piecewise linear approximation of the
number of orders function. They allow any number of linear constraints and
determine if independent or common (fixed) cycle ordering has a lower total
cost. Results of computational experiments on an example problem are also
presented.
Author (s) Details
John Moussourakis
Department of Information Systems, Analytics, and Supply Chain Management, Norm Brodsky College of Business, Rider University, Lawrenceville, NJ 08648, USA.
Cengiz Haksever
Department of Information Systems, Analytics, and Supply Chain Management, Norm Brodsky College of Business, Rider University, Lawrenceville, NJ 08648, USA.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/198
Author (s) Details
John Moussourakis
Department of Information Systems, Analytics, and Supply Chain Management, Norm Brodsky College of Business, Rider University, Lawrenceville, NJ 08648, USA.
Cengiz Haksever
Department of Information Systems, Analytics, and Supply Chain Management, Norm Brodsky College of Business, Rider University, Lawrenceville, NJ 08648, USA.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/198
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