Order Acceptance Policy for Make-To-Order Supply Chain

AFSA is an industrial company that produces flexible packaging and has more than 200 plants on five continents. It has an important presence in South America with five plants in the region. Among its main features is to supply other industries (B2B) produce under the strategy make-to-order, with local, regional, and corporate hierarchies. Its value proposition is aimed at delivering superior customer service to the market with innovative and quality products. However, due to the acquisitions that the company has made in the last two years in different countries of the region and the growth in the consumption of flexible packaging, the strategies among the different areas of the company have not been aligned, creating incompatibilities between the strategies of the functional areas like sales, operations, finance, and supply chain. This chapter proposes to optimize the supply chain of AFSA, using a strategic methodology of diagnosis and operational analysis to have a multidimensional approach that allows for decision-making.

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A technique for determining the optimum mix of logistics service providers of a make-to-order supply chain by formulating and solving a constrained nonlinear cost optimization problem

Decision Science Letters ◽

10.5267/j.dsl.2013.02.001 ◽

2013 ◽

Vol 2 (2) ◽

pp. 95-108 ◽

Cited By ~ 1

Author(s):

Mrityunjoy Roy ◽

Ranjan Kumar Gupta ◽

Tanmoy Dasgupta

Keyword(s):

Supply Chain ◽

Optimization Problem ◽

Service Providers ◽

Cost Optimization ◽

Logistics Service ◽

Make To Order ◽

Logistics Service Providers

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Scheduling and due-date quotation in a make-to-order supply chain

Naval Research Logistics (NRL) ◽

10.1002/nav.20297 ◽

2008 ◽

Vol 55 (5) ◽

pp. 444-458 ◽

Cited By ~ 14

Author(s):

Philip Kaminsky ◽

Onur Kaya

Keyword(s):

Supply Chain ◽

Due Date ◽

Make To Order ◽

Due Date Quotation

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Managing supplier flexibility performance as a relational exchange investment in make-to-stock versus make-to-order production environments

Journal of Business and Industrial Marketing ◽

10.1108/jbim-05-2019-0200 ◽

2019 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Divesh Ojha ◽

Jeff Shockley ◽

Pamela P. Rogers ◽

Danielle Cooper ◽

Pankaj C. Patel

Keyword(s):

Supply Chain ◽

Information Quality ◽

Supply Chain Integration ◽

Equation Modeling ◽

Relational Exchange ◽

Relative Importance ◽

Content Type ◽

Make To Order ◽

Production Environments ◽

Make To Stock

Purpose This paper aims to develop and test a model of buyer–supplier relational investment that links supply chain integration (SCI) to supplier flexibility performance (SFLEX) advantages in different manufacturing environments. Relational stability (RS) and information quality (IQL) are viewed as key indicators of intermediating commitment investments in supplier relationships to help support supplier accommodations for special requests for order flexibility. The model is applied to investigate the relative importance of manufacturer relational investments with suppliers in both make-to-stock (MTS) and make-to-order (MTO) production environments. Design/methodology/approach A survey of 206 US manufacturing firms was used to test the proposed research model using structural equation modeling and multiple-group analysis techniques. Findings Social exchange investments in relationship stability and information quality are found to fully mediate the positive performance relationship between supply chain integration and supplier flexibility performance for manufacturers. However, the relative importance of each form of investment in enhancing supplier flexibility performance varies based on the buyer’s (manufacturer’s) order fulfillment environment (make-to-stock versus make-to-order). Originality/value The proposed model may assist manufacturers make more informed relational exchange investments and supply chain configuration decisions that most conducive to enhancing supplier flexibility performance for different production environments.

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