A branch and price solution approach for order acceptance and capacity planning in make-to-order operations

Mestry, Siddharth; Damodaran, Purushothaman; Chen, Chin‐Sheng

doi:10.1016/j.ejor.2011.01.002

Cited by 48 publications

(14 citation statements)

References 20 publications

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“…The paper of Mestry et al (2011) studies the order acceptance problem of a maketo-order company, a problem that consists of selecting a subset of orders to maximize profit conditional on accepted order fulfillment by the due date. Incoming requests are accumulated one day and a selection is made the next.…”

Section: Literature Reviewmentioning

confidence: 99%

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Order acceptance for motorail transportation with uncertain parameters

Lutter

Werners

2014

OR Spectrum

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Motorail transportation covers the loading of various types of cars and motorcycles onto trains. Order acceptance decisions are mainly driven by the availability of free capacity and have to respect several technical conditions. We focus on a dynamic situation where capacity demand is not known exactly but within certain bounds at the decision point. On the basis of proactive optimization, capacity bottlenecks are identified in advance. In particular, we develop a decision support system with mixed-integer programming to dynamically anticipate maximal available capacity. This key figure serves as an indicator to evaluate the underlying uncertainty and so achieve optimal train utilization. Numerical evaluations show that a variety of instances can be solved by standard commercial optimization software within reasonable time.

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Section: Literature Reviewmentioning

confidence: 99%

“…This problem differs from typically studied order acceptance problems (e.g. Mestry et al 2011) when decisions have to be made immediately in a very constrained environment. Thus, the use of optimization techniques is highly valuable for motorail companies due to the combinatorial nature of vehicle loading.…”

mentioning

confidence: 92%

Order acceptance for motorail transportation with uncertain parameters

Lutter

Werners

2014

OR Spectrum

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“…Gademann and Schutten (2005) have proposed linear programming based heuristics to solve this problem. Mestry et al (2011) use a similar approach as Hans' for job-shop production in a make-to-order context.…”

Section: Literature Reviewmentioning

confidence: 99%

Periodically aggregated resource-constrained project scheduling problem

Morin

Artigues

Haït

2017

EJIE

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Abstract:In this paper, a new project scheduling problem is introduced, the periodically aggregated resource-constrained project scheduling problem (PARCPSP), in which the resource usage is considered on average over aggregated periods of parameterised length, while temporal aspects (start/completion dates of activities and precedence relations) are taken into account in an exact manner. A mixed integer linear programming formulation based on a mixed time representation is given. The adaptation of schedule generation schemes developed for standard project scheduling problems is discussed. An iterative solution scheme is described; experiments show that this method permits to find better upper bounds and sometimes enables to reduce the overall computational time.

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“…The author highlights that there are many different planning functions to be performed on the higher levels of production planning that are denominated capacity planning and distinguishes long-term capacity planning to decide on investments in capacity expansion on the basis of market expectations (e.g., Leiras et al, 2010;Oliveira et al, 2015), capacity planning in the order acceptance phase, and resource loading (e.g., Mestry et al, 2011;Lingitz et al, 2013), thus enabling feasible lower-level schedules, already in the operational level (e.g., Ribas et al, 2012;Carvalho et al, 2014).…”

Section: Tactical Planning In Etomentioning

confidence: 99%

“…Moreover, within this level, Ishii et al (2014) state that the objective in the order acceptance process is to maximize profits with production capacity limitations. Mestry et al (2011) and Wang et al (2013) emphasize that integrating order acceptance and capacity planning provides tremendous opportunities to maximize the operational profits of MTO operations.…”

Section: Tactical Planning In Etomentioning

confidence: 99%

An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective

Carvalho

Scavarda

Oliveira³

2017

Prod.

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The academic literature presents a research-practice gap on the application of decision support tools to address tactical planning problems in real-world organisations. This paper addresses this gap and extends a previous action research relative to an optimisation model applied for tactical capacity planning in an engineer-to-order industrial setting. The issues discussed herein raise new insights to better understand the practical results that can be achieved through the proposed model. The topics presented include the modelling of objectives, the representation of the production process and the costing approach, as well as findings regarding managerial decisions and the scope of action considered. These insights may inspire ideas to academics and practitioners when developing tools for capacity planning problems in similar contexts.

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A branch and price solution approach for order acceptance and capacity planning in make-to-order operations

Cited by 48 publications

References 20 publications

Order acceptance for motorail transportation with uncertain parameters

Order acceptance for motorail transportation with uncertain parameters

Periodically aggregated resource-constrained project scheduling problem

An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective

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