Purpose - Maintenance is a key lever for reducing costs in manufacturing companies. Researchers have focused in the past on the importance of integrating maintenance and production planning to obtain total cost savings and have proposed a number of models. Nonetheless, all such contributions take a static perspective and do not consider the dynamics of markets, e.g. when some already committed preventive maintenance (PM) interventions are to be rescheduled. Therefore, the aim of this paper is to suggest a new decision-making process to manage the rescheduling of PM interventions and to show - through the proposal of an ad hoc planning model - the economical savings from expressly considering rescheduling costs in re-planning PM interventions. Design/methodology/approach - In this paper the authors used six case studies to infer both the current process of production and maintenance integrated planning and the decision-making process followed for rescheduling PM interventions. From the current practices the authors derived a new managerial framework for managing rescheduling events and they have built two mathematical models to compare the current and the proposed frameworks by using real data. Findings - Considering rescheduling costs in the joint production and maintenance planning process leads to significant economical savings under all the scenarios tested. In particular, the use of the proposed model allows significant reductions in maintenance costs while keeping constant production costs. This makes the implementation of the authors' proposal in real companies easier. Originality/value - This research originates from the wish of a real company to better investigate the issue of rescheduling interventions. To the best of the authors' knowledge this is the first study to face the problem of rescheduling PM interventions and to present a mathematical model to support managers in such a decision-making process.

Integrated maintenance and production planning: A model to include rescheduling costs

A. portioli staudacher;
2012-01-01

Abstract

Purpose - Maintenance is a key lever for reducing costs in manufacturing companies. Researchers have focused in the past on the importance of integrating maintenance and production planning to obtain total cost savings and have proposed a number of models. Nonetheless, all such contributions take a static perspective and do not consider the dynamics of markets, e.g. when some already committed preventive maintenance (PM) interventions are to be rescheduled. Therefore, the aim of this paper is to suggest a new decision-making process to manage the rescheduling of PM interventions and to show - through the proposal of an ad hoc planning model - the economical savings from expressly considering rescheduling costs in re-planning PM interventions. Design/methodology/approach - In this paper the authors used six case studies to infer both the current process of production and maintenance integrated planning and the decision-making process followed for rescheduling PM interventions. From the current practices the authors derived a new managerial framework for managing rescheduling events and they have built two mathematical models to compare the current and the proposed frameworks by using real data. Findings - Considering rescheduling costs in the joint production and maintenance planning process leads to significant economical savings under all the scenarios tested. In particular, the use of the proposed model allows significant reductions in maintenance costs while keeping constant production costs. This makes the implementation of the authors' proposal in real companies easier. Originality/value - This research originates from the wish of a real company to better investigate the issue of rescheduling interventions. To the best of the authors' knowledge this is the first study to face the problem of rescheduling PM interventions and to present a mathematical model to support managers in such a decision-making process.
2012
integrated maintenance and production planning
optimization model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1065081
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