Production, Inventory and Capacity Expansion Scheduling with Integer Variables

Barchi, Richard H.; Sparrow, F.T.; Vemuganti, R. R.

doi:10.1287/mnsc.21.7.783

Cited by 4 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [14] combines the production-inventory and capacity expansion problem by modeling it as a linear, integer problem. Ref.…”

Section: Related Workmentioning

confidence: 99%

Multi-Period Production Capacity Planning for Integrated Product and Production System Design

Kazancioglu

2006

2006 IEEE International Conference on Automation Science and Engineering

View full text Add to dashboard Cite

.Abstract -This paper presents a simulation-based method to aid multi-period production capacity planning by quantifying the trade-off between product quality and production cost. The product quality is estimated as the statistical variation from the target performances obtained from the output tolerances of the production machines that manufacture the components. The production cost is estimated as the total cost of owning and operating a production facility during the planning horizon. Given demand forecasts in future production periods, a multi-objective genetic algorithm searches for the optimal types and quantity of the production machines to be purchased during each period, which simultaneously maximize the product quality and minimize the production cost during the entire planning horizon. Case studies on automotive valvetrain production are presented as a demonstration.

show abstract

“…Ref. [14] combines the production-inventory and capacity expansion problem by modeling it as a linear, integer problem. Ref.…”

Section: Related Workmentioning

confidence: 99%

Multi-Period Production Capacity Planning for Integrated Product and Production System Design

Kazancioglu

2006

2006 IEEE International Conference on Automation Science and Engineering

View full text Add to dashboard Cite

show abstract

“…For this class, Veinott and Wagner also proposed a special algorithm that is more efficient than the linear programming algorithm. Barchi et al formulated an integer programming model to represent a DCEP that involves the determination of both production and expansion plans with no backordering over given horizons. Hiller and Shapiro introduced a mixed-integer linear programming (MILP) model to represent a DCEP with learning effects.…”

Section: Previous Workmentioning

confidence: 99%

Regulatory Factors and Capacity-Expansion Planning in Global Chemical Supply Chains

and

Karimi

2004

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Capacity-expansion planning is a class of strategic supply-chain problems that has received extensive attention from both chemical engineering and operations research communities since the late 1950s. Nevertheless, to the best of our knowledge, no previous work has so far addressed these problems on a global scale while accounting for the effect of multiple key regulatory factors. This paper fills this gap in the capacity-planning research using a four-prong approach. First, it introduces and classifies key regulatory factors that can significantly influence the earnings or business operations of multinational companies. Second, it presents a new deterministic capacity-expansion-planning model in which sizes of expansions or new facilities are variables and domestic and international regulatory factors are explicitly taken into account. Third, it extends the deterministic model to address important issues such as distribution centers, outsourcing, and uncertainty in problem parameters. Last, it demonstrates the importance and effect of incorporating multiple regulatory factors in capacity-expansion-planning models using illustrative examples.

show abstract

“…Unfortunately, the distribution literature is sparse in providing answers [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]. The recent literature on capacity planning has primarily dealt with production and inventory capacity expansion scheduling [17,18,19, a notable exception is 20] or the location and number of distribution facilities for an entire distribution system [21,22]. A third subset of the broader capacity planning problem defined by Fetter [23], Veinott and Wagner [24] and others [25,26,27] deals with the determination of the space requirements for individual storage facilities in logistical systems [28].…”

mentioning

confidence: 99%

Distribution Capacity Planning: The Long‐Term Problem

Cadotte¹

1979

International Journal of Physical Distribution &Amp; Materials Management

View full text Add to dashboard Cite

Access to this document was granted through an Emerald subscription provided by emeraldsrm:463575 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.

show abstract

Production, Inventory and Capacity Expansion Scheduling with Integer Variables

Cited by 4 publications

References 14 publications

Multi-Period Production Capacity Planning for Integrated Product and Production System Design

Multi-Period Production Capacity Planning for Integrated Product and Production System Design

Regulatory Factors and Capacity-Expansion Planning in Global Chemical Supply Chains

Distribution Capacity Planning: The Long‐Term Problem

Contact Info

Product

Resources

About