A review of tactical planning models

We review the literature about shop scheduling problems in manufacturing systems, revealing the concepts and methodologies that most impact the usage of scheduling theory in manufacturing environments. We focus our attention on the job shop and flow shop problems and their variants. We emphasize the interactions between the scheduling functions and manufacturing paradigms such as Industry 4.0, Computer Integrated Manufacturing, Computer‐Aided Process Planning, Advanced Planning and Scheduling, and Integrated Process Planning and Scheduling. We describe the main components and characteristics of the scheduling ecosystem, and we discuss how the scheduling interacts with the components that make it up and how it is affected by them. The metadata collected from the digital libraries on which the review was based (ScienceDirect, Scopus, and Elsevier) made it possible to characterize the historical evolution of the main concepts of the scheduling ecosystem in terms of scientific publications and research trends in the period 2000–2020.

show abstract

“…Literature reviews about APS systems can be found in Comelli et al. (2008), Tyagi et al. (2013), and de Sousa et al.…”

Section: Scheduling Ecosystemmentioning

confidence: 99%

Shop scheduling in manufacturing environments: a review

Márquez

Ribeiro

2022

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…guish the problem based on continuous/discrete time considerations: for example, with infinite capacity, the Economic Order Quantity (EOQ) model of Harris (1913) for constant demand over continuous time and the Uncapacitated Lot-Sizing model (ULS) of Wagner and Whitin (1958) for time-varying demand over discrete time. Readers can refer to the literature review of Brahimi et al (2017) for single item cases and of Comelli et al (2006) for model classification. However, production planning is determined following the well-known Manufacturing Resource Planning (MRP II) logic for a medium-term objective.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity

Bian

Lemoine

Yeung

et al. 2018

International Journal of Production Economics

Self Cite

View full text Add to dashboard Cite

In times of crisis, companies need free cash flow to efficiently react against all uncertainty to ensure solvency. However, classical dynamic lot-sizing models only consider the physical flow of goods. In this paper, we introduce a first link between dynamic lot-sizing and the financial aspects of working capital requirements (WCR). We propose a new generic WCR model which allows us to evaluate the company's financial situation throughout the planning horizon. Moreover, a dynamic lot-sizing-based, discounted cash flow model is established for single-site, single-level, single-product and infinite capacity cases. It is shown that the zero-inventory ordering property holds for this case and thus a polynomial-time algorithm may be utilized. Numerical tests are presented in order to show the relevance of our approach compared with the traditional dynamic lot-sizing model.

show abstract

“…That involves to determine the lot-sizes to produce: the aim is to calculate in function of the estimated production capacity the quantities which should be produced for each item and for each period of the given horizon to satisfy the customer requests, at the lowest cost (including the production, holding and setup costs). Many mathematical models can be used to solve this problem, [5] gives a classification of these ones.…”

Section: Introductionmentioning

confidence: 99%

“…Fig. 1: Failures during production turn the production plan to be infeasible 2 Review of the literature Tactical planning problems are usually classified according to several criteria: the number of items (single or multi items), the nature of the capacity (limited or unlimited), or the typology of the demand (constant or variable) [5]. This last criterion is known to be the most structuring one.…”

Section: Introductionmentioning

confidence: 99%

Integration of Maintenance in the Tactical Production Planning Process under Feasibility Constraint

Géhan¹,

Castanier²,

Lemoine³

2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Self Cite

View full text Add to dashboard Cite

Abstract. This paper deals with the problem of the joint optimization of the master production schedule and maintenance strategy for a manufacturing system. An efficient production planning and maintenance policy will allow to minimize the impacts of the potential random failures and will let the plan to be feasible. We present a modelisation where we take into account a feasibility constraint ; the optimization problem is formulated as a linear program. We propose an heuristic algorithm to solve it and we show the impact of the feasibility constraint on different criteria.

show abstract

A review of tactical planning models

Cited by 8 publications

References 64 publications

Shop scheduling in manufacturing environments: a review

Shop scheduling in manufacturing environments: a review

A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity

Integration of Maintenance in the Tactical Production Planning Process under Feasibility Constraint

Contact Info

Product

Resources

About