Modeling customized product configuration in large assembly manufacturing with supply-chain considerations

2007 ◽  
Vol 19 (4) ◽  
pp. 685-712 ◽  
Author(s):  
Roberto F. Lu ◽  
Thomas D. Petersen ◽  
Richard L. Storch
Keyword(s):  
Supply Chain ◽  
Product Configuration

Mass Customization Management in E-Commerce Configuration with early Supplier Involvement

2011 ◽  
Vol 189-193 ◽  
pp. 47-52
Author(s):  
Yan Ting Ni ◽  
Jing Min Li ◽  
Yi Wang ◽  
Jin Yao
Keyword(s):  
Supply Chain ◽  
Information Integration ◽  
Mass Customization ◽  
Product Information ◽  
Value Systems ◽  
Product Configuration ◽  
Customer Requirements ◽  
Generic Structure ◽  
Supplier Involvement ◽  
Configuration Generation

In terms of transforming supply chain into integrated value systems, the benefits of Early Supplier Involvement (ESI) in product development have been widely accepted. As far as variety management and online configuration are concerned, the difficulties of ESI in online mass customization manifest themselves through two main aspects: (1) Support the seamless information integration with respect to its high variety and large volume not only among internal functions but also with external suppliers; (2) Support real-time online configuration for product configuration generation and optimization based on customer requirements and supplier capabilities. Accordingly, this work proposes two potential solutions. PFA-based integrated information model is established to synchronize the PFA generic structure and supplier product information.

Digital product fitting in retail supply chains: maturity levels and potential outcomes

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmelie Gustafsson ◽  
Patrik Jonsson ◽  
Jan Holmström
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Potential Outcomes ◽  
Product Configuration ◽  
Maturity Model ◽  
Customer Requirements ◽  
Content Type ◽  
Digital Product ◽  
Retail Supply Chains ◽  
Fitting In

Purpose In retail, product fitting is a critical operational practice. For many products, the operational outcome of the retail supply chain is determined by the customer physically fitting products. Digital product fitting is an emerging operational practice in retail that uses digital models of products and customers to match product supply to customer requirements. This paper aims to explore potential supply chain outcomes of digitalizing the operational practice of product fitting. The purpose is to explore and propose the potential of the practice to improve responsiveness to customer requirements and the utilization of existing variety in mass-produced products. Design/methodology/approach A maturity model of product fitting is developed to specify three levels of digitalization and potential outcomes for each level. Potential outcomes are developed based on empirical data from a case survey of three technology-developing companies, 13 retail cases and a review of academic literature. Findings With increasing maturity of digital product fitting, the practice can be used for more purposes. Besides matching product supply to customer demand, the practice can improve material flows, customer relationship management, assortment planning and product development. The practice of digital product fitting is most relevant for products where the final product configuration is difficult to make to order, product and customer attributes are easily measurable and tacit knowledge of customers and products can be formalized using digital modeling. Research limitations/implications Potential outcomes are conceptualized and proposed. Further research is needed to observe actual outcomes and understand the mechanisms for both proposed and surprising outcomes in specific contexts. Practical implications The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes. Originality/value This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.

Product Modeling and Configuration Experiences

2011 ◽  
pp. 33-58
Author(s):  
J. Arana
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Applied Research ◽  
Product Configuration ◽  
Chain Process ◽  
Product Modeling ◽  
Industrial Practice ◽  
Research Activities ◽  
Speed Up ◽  
Supply Chain Process

This chapter attempts to present an alternative for product modeling based on applied research activities. The model proposed is based on a concept supported by different views: functional, technological, and physical. With the aim of making the model learner-friendly, the chapter also presents an industrial case applied in the lift industry. The specific problems, the model used, the implementation carried out, and the results obtained are described in detail. The objective is to make a contribution based on the industrial practice to one of the basic enablers for product configuration. The final aim is to speed up the supply-chain process in Mass customization scenarios.

scholarly journals Integrating Sales, Design and Production: A Configuration System for Automation in Mass Customization

2021 ◽  
Author(s):  
Camilla Wehlin ◽  
Olle Vidner ◽  
Leon Poot ◽  
Mehdi Tarkian
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Product Configuration ◽  
Order Entry ◽  
Knowledge Based ◽  
Delivery Times ◽  
Final Design ◽  
Configuration System ◽  
Customized Products ◽  
Engineer To Order

Abstract Companies manufacturing customized engineer-to-order (ETO) products are decelerated by repetitive work, misinterpretations and uncoordinated processes which prohibits the achievement of mass customization. Being able to deliver customized product with low costs and fast delivery times, the concept of mass customization, is a prerequisite for maintained competitiveness with the demands from the market today. This paper presents a product configuration system (PCS) for customized products using design automation enabled by knowledge-based engineering (KBE) and enterprise-wide optimization (EWO). With this approach, the process from sales to delivery of customized products can be extensively rationalized. The PCS consists of two modules. The first being a configurator for use in the sales quotation stage. Here, customer requirements are captured, and used to generate alternatives feasible for the customer context. Thereby, correct quotations can be generated at the sales instance. The second module is the enterprise-wide configurator where accepted orders are concurrently optimized for their detailed and final design, considering the current state of the production and concurrent sales cases in the company. In other terms, instead of adapting the supply chain according to the design of the products in the order entry, the design of the products in the order entry are adapted according to the state of the supply chain. Thereby, resources can be efficiently utilized to the benefit of both the customer and the company, with reduced costs and delivery times. An implementation of the PCS in a case concerning spiral staircases, an ETO product, has shown potential of substantially reducing resources and errors and enable a reliable process supporting achievement of mass customization.

A New Method of Product Configuration for Customization System into Supply Chain

2011 ◽  
Vol 121-126 ◽  
pp. 3870-3874
Author(s):  
Xue Yan Sun ◽  
Xing Yu Jiang ◽  
Shi Jie Wang ◽  
Xin Min Zhang
Keyword(s):  
Supply Chain ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
New Method ◽  
Product Configuration ◽  
Configuration Model ◽  
Solution Quality ◽  
Complex Product ◽  
Product Configuration Model ◽  
Improved Ant Colony Algorithm

To establish the configuration relations of complex product in the process of customization into supply chain, a new method of product configuration based on polychromatic graph theory was put forward. Then the optimum product structure configuration mathematical model was got and the improved ant colony algorithm was employed to solve the problem. The results showed that the solution quality got by improved ant colony algorithm was better than the solution got by traditional ant colony algorithm, and the product configuration model can exactly present the configuration information, product attribute and assembly relation for complex product. The customization system offers a kind of new way to meet customers’ requirements that the customers are eager for consumption of varieties, small batch production, short cycle and high quality.

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