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

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.

2011 ◽  
Vol 189-193 ◽  
pp. 47-52
Author(s):  
Yan Ting Ni ◽  
Jing Min Li ◽  
Yi Wang ◽  
Jin Yao

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.


2011 ◽  
Vol 133 (04) ◽  
pp. 32-35
Author(s):  
David M. Anderson

This article focuses on the missing link in mass customization. Mass customization has not really caught on yet because of a missing link—knowing how to actually design and build mass-customized products. The solution is concurrently engineering product families and flexible processes so any product variation within a family can be built on-demand using common parts that are always available. Accomplishing this requires some new and different strategies: production strategy, supply chain strategy, design strategy, and marketing strategy. The production strategy aims to build any variation in a product family on demand economically, which requires versatile flexible processes without expensive setup charges or delays. Supply chain strategy assures that all parts, modules, and materials must be always nearby and spontaneously resupplied by using some specific techniques. Design strategy concurrently engineers the design of the product families and their flexible processes to build customized products on-demand from common parts and materials. Marketing strategy identifies product families that have a need for mass-customized products and can be economically built on demand.


Author(s):  
J. Arana

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.


2006 ◽  
Vol 532-533 ◽  
pp. 1068-1071 ◽  
Author(s):  
Bin Zhu ◽  
Zhan Wang ◽  
Hai Cheng Yang ◽  
Hong Li

Mass customization (MC) is an emergent concept in industry intended to provide customized products through flexible processes in high volumes and at reasonably low costs. The method of configuration is one of important ways to realize quickly product customization. But, in business, particularly through the Internet, a customer normally develops in his mind some sort of ambiguity, when given the choice of similar alternative products to choose. This paper proposes an approach to product configuration according to uncertain and fuzzy requirements the customer submits to the product supplier. Finally, the digital camera is taken as an example to further verify the validity and the feasibility of the method.


Author(s):  
Shiqiang Yu ◽  
Pai Zheng ◽  
Chunyang Yu ◽  
Xun Xu

Rapid responsiveness to diverse customer needs is considered a competitive advantage in manufacturing business. To shrink the inquiry-to-order process, manufacturing firms will benefit a lot from building a product configuration system (PCS) which is the enabler of mass customisation (MC). PCS has matured in consumer businesses for decades but in capital goods industries, typically operating in engineer-to-order (ETO) manner, things differ a lot. It is for the reason that conventional PCS is incapable of extending customisation from order-delivery processes to the design/engineering phase. Cloud manufacturing, which is an emerging service-oriented manufacturing paradigms enabled by cyber-physical system, the Internet of Things and the Internet of Service, is promising to break the bottleneck of “ETO PCS” by the provision of technical infrastructure for product, service and data customisation. With the introducing of manufacturing-as-a-service (MaaS) concept, a product family is extended to a product-service family (PSF) in this paper for implementing in-depth product configuration process with scalable customisation depth (i.e., the degree of customisation freedom). Additionally, an approach of service delegation in product configuration process is proposed to support customer-centric product customisation. At last, the methodology proposed in this paper is validated by a case study in which the product configuration process of a complex ETO product is performed.


2016 ◽  
Vol 2016 ◽  
pp. 1-5
Author(s):  
Jelena Micevska ◽  
Tatjana Kandikjan

BACKGROUND: Mass customized products are achievable due to the advancements in the technologies and software engineering. Mass customization has become necessity for the contemporary production companies. At the same time, that means lot of complication in the engineering, production and logistic processes. Altogether, the complete process of customization costs time and money, which implies additional charges to the customized product.BACKGROUND: Mass customized products are achievable due to the advancements in the technologies and software engineering. Mass customization has become necessity for the contemporary production companies. At the same time, that means lot of complication in the engineering, production and logistic processes. Altogether, the complete process of customization costs time and money, which implies additional charges to the customized product.AIM: The aim of this research is gathering knowledge in the field of additive technologies and parametric modeling.MATERIAL AND METHODS: The gathered knowledge is used in order to help non-designers and designers, both with no knowledge in computer-aided design (CAD) systems and additive technologies. The main idea behind the product configuration model (PCM), proposed in this paper is to enable user-friendly interface, easy to use for novice CAD users. In that manner user can design its own product as a CAD model.RESULTS: With the technologies like additive technologies, new possibilities emerge. These technologies completely change the process of designing and producing a new product. The size of the series and complexity of the geometry is no obstacle and more important does not apply additional charges. That means that one can order unique product to be produced especially for him/her and have it delivered in short period. With the decrease price of machines for additive technologies, mainly fused deposition modeling (FDM) machines, the number of home-owned machines has increased. Therefore, the users can produce at home anything that they designed or bought as CAD model online.CONCLUSION: Having in mind that most of them are not familiar with CAD modeling, in this paper, we are proposing product configuration model for creating personalized parts.


2021 ◽  
pp. 107262
Author(s):  
Sharfuddin Ahmed Khan ◽  
Iram Naim ◽  
Simonov Kusi-Sarpong ◽  
Himanshu Gupta ◽  
Ashraf Rahman Idrisi
Keyword(s):  

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 296
Author(s):  
Laila Esheiba ◽  
Amal Elgammal ◽  
Iman M. A. Helal ◽  
Mohamed E. El-Sharkawi

Manufacturers today compete to offer not only products, but products accompanied by services, which are referred to as product-service systems (PSSs). PSS mass customization is defined as the production of products and services to meet the needs of individual customers with near-mass-production efficiency. In the context of the PSS mass customization environment, customers are overwhelmed by a plethora of previously customized PSS variants. As a result, finding a PSS variant that is precisely aligned with the customer’s needs is a cognitive task that customers will be unable to manage effectively. In this paper, we propose a hybrid knowledge-based recommender system that assists customers in selecting previously customized PSS variants from a wide range of available ones. The recommender system (RS) utilizes ontologies for capturing customer requirements, as well as product-service and production-related knowledge. The RS follows a hybrid recommendation approach, in which the problem of selecting previously customized PSS variants is encoded as a constraint satisfaction problem (CSP), to filter out PSS variants that do not satisfy customer needs, and then uses a weighted utility function to rank the remaining PSS variants. Finally, the RS offers a list of ranked PSS variants that can be scrutinized by the customer. In this study, the proposed recommendation approach was applied to a real-life large-scale case study in the domain of laser machines. To ensure the applicability of the proposed RS, a web-based prototype system has been developed, realizing all the modules of the proposed RS.


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