<p>This work proposes mathematical models (MMs) for the capacitated lot-sizing problem with production carry-over and set-up splitting, which can handle two scenarios, namely (1) situation/scenario where the set-up costs and holding costs are product dependent and time independent, and with no backorders or lost sales, and (2) situation where the set-up costs and holding costs are product dependent and time dependent, and with no backorders or lost sales. Previously, in an existing study the authors had developed a MM for the same problem and situation where the set-up costs and holding costs are product dependent and time independent, i.e. our Scenario 1. We compare our proposed models with the model in the existing study that appears to b...
The Capacitated Lot Sizing Problem (CLSP) consists of planning the lot sizes of multiple items over ...
The issue in lot sizing problem is to plan production processes, so that mean the production quantit...
Lot sizing is one of the most important and also one of the most difficult problems in production pl...
This paper focuses on the capacitated lot sizing problem with two extensions namely setup carryover ...
Setup operations are significant in some production environments. It is mandatory that their product...
International audienceThis is a summary of the author's PhD thesis supervised by Philippe Chrétienne...
In the present paper, we discuss one of the many processes arising in the context of supply chain ma...
Purpose: The capacitated lot sizing problem (CLSP) is one of the most important production planning ...
Purpose The capacitated lot sizing problem (CLSP) is one of the most important production planning p...
Various mixed-integer programming models have been proposed for solving the capacitated multi-level ...
In this paper, we study a special case of the capacitated lot sizing problem (CLSP), where alternati...
This paper presents a literature classification and a detailed computational study analysing the imp...
This paper presents a multi-level, multi-item, multi-period capacitated lot-sizing problem. The lot-...
Part III: Sustainable ServicesInternational audienceIn this paper we present an effective flexible f...
The aim of lot sizing problems is to determine the periods where production takes place and the quan...
The Capacitated Lot Sizing Problem (CLSP) consists of planning the lot sizes of multiple items over ...
The issue in lot sizing problem is to plan production processes, so that mean the production quantit...
Lot sizing is one of the most important and also one of the most difficult problems in production pl...
This paper focuses on the capacitated lot sizing problem with two extensions namely setup carryover ...
Setup operations are significant in some production environments. It is mandatory that their product...
International audienceThis is a summary of the author's PhD thesis supervised by Philippe Chrétienne...
In the present paper, we discuss one of the many processes arising in the context of supply chain ma...
Purpose: The capacitated lot sizing problem (CLSP) is one of the most important production planning ...
Purpose The capacitated lot sizing problem (CLSP) is one of the most important production planning p...
Various mixed-integer programming models have been proposed for solving the capacitated multi-level ...
In this paper, we study a special case of the capacitated lot sizing problem (CLSP), where alternati...
This paper presents a literature classification and a detailed computational study analysing the imp...
This paper presents a multi-level, multi-item, multi-period capacitated lot-sizing problem. The lot-...
Part III: Sustainable ServicesInternational audienceIn this paper we present an effective flexible f...
The aim of lot sizing problems is to determine the periods where production takes place and the quan...
The Capacitated Lot Sizing Problem (CLSP) consists of planning the lot sizes of multiple items over ...
The issue in lot sizing problem is to plan production processes, so that mean the production quantit...
Lot sizing is one of the most important and also one of the most difficult problems in production pl...