Sustainable supply chain management (SSCM) provides economic, social end environmental requirements in material and service flows occurring between suppliers, manufacturers and customers. SSCM structure is considered as a prerequisite for a sustainable success. Thus designing an effective SCM structure provides competitive advantages for the companies. In order to achieve an effective design of this structure, it is possible to apply quality function deployment (QFD) approach which is successfully applied as an effective product and system development tool. This study presents a decision framework where analytic network process (ANP) integrated QFD and zero-one goal programming (ZOGP) models are used in order to determine the design requirements which are more effective in achieving a sustainable supply chain (SSC). The first phase of the QFD is the house of quality (HOQ) which transforms customer requirements into product design requirements. In this study, after determining the sustainability requirements named customer requirements (CRs) and design requirements (DRs) of a SSC, ANP is employed to determine the importance levels in the HOQ considering the interrelationships among the DRs and CRs. Furthermore ZOGP approach is used to take into account different objectives of the problem. The proposed method is applied through a case study and obtained results are discussed.

Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment

Based on the phenomenal changes that additive manufacturing (AM) has brought to industries and markets, managerial approaches should be re-examined and developed to take advantage of emerging opportunities. This revolutionary technology is dramatically changing business and innovation models, shrinking supply chains and altering the global economy. For example, 3D printing shifts production locations closer to customers and leads to free-form product design as well as sustainable manufacturing. Several studies have been conducted on AM technology, but the research stream on AM management is still developing, with studies dispersed in journals across different research areas. Our study presents both systematic and quantitative analyses of the literature, including co-citation analysis, factor analysis and multidimensional scaling, to explore the structure of the AM research domains in the scope of management, business and economics. We found eight main research streams: AM technology selection, supply chai...

Additive manufacturing management: a review and future research agenda

https://isiarticles.com/bundles/Article/pre/pdf/7056.pdf

Dealing with subjectivity in early product design phase: A systematic approach to exploit Quality Function Deployment potentials

Technological innovation and satisfaction of customer needs are the keys to survival and success for firms, especially in global competitive high-tech industries. Since new products are usually a source of new sales and profits, the success of new product development (NPD) is essential to maintain a competitive edge and to make a decent profit in a longer term. Therefore, how to develop products that deliver the quality and functionality customers demand while generating the desired profits becomes an important task for the manufacturers. In this paper, a framework with two phases is constructed for facilitating the selection of engineering characteristics (ECs) for product design. In the first phase, quality function deployment (QFD) is incorporated with the supermatrix approach of analytic network process (ANP) and the fuzzy set theory to calculate the priorities of ECs with the consideration of the interrelationship among factors and the impreciseness and vagueness in human judgments and information. I...

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An evaluation framework for product planning using FANP, QFD and multi-choice goal programming

Analytic network process: An overview of applications

An integrated methodology using quality function deployment (QFD) and analytic network process (ANP) is proposed to determine and prioritize the engineering requirements of a cast part, based on the customer needs, for selecting and evaluating an appropriate rapid prototyping (RP)-based route for tooling fabrication. The QFD incorporates a planning matrix to translate the customer needs into measurable engineering requirements using a robust evaluation method based on ANP. Experimental data generated by carrying out benchmarking studies of widely used RP processes were used to facilitate assignment of relative weights in ANP. The methodology is demonstrated and validated with an industrial example of a separator body casting. It has proved to be a robust evaluation and decision-making tool for selecting appropriate tooling route for a given casting based on customer requirements.

/pdf/rapid-tooling-route-selection-for-metal-casting-using-qfd-5b9l8vjtaj.pdf

Rapid tooling route selection for metal casting using QFD-ANP methodology

Indigenous product development using conventional means involves a relatively long leadtime and cost, especially for replacing worn out and broken parts. This paper presentsmethodologies and technologies for computer-aided reverse engineering, illustrated by a reallifecase study of an aluminium alloy separator body of a hydraulic filter assembly for the specialarmy vehicle. It involved reconstruction of part geometry using 3-D scanning, materialidentification using spectrometry, casting process optimisation using simulation software, andfabrication of prototype and tooling using rapid prototyping systems. It was found that thefabrication of wax patterns directly from reverse-engineered CAD data in a suitable rapidprototyping system (such as thermojet), followed by conventional investment casting, gives areliable and economic route for rapid development of one-off intricate parts for the replacementpurpose.

http://publications.drdo.gov.in/ojs/index.php/dsj/article/download/1885/927

Computer-aided Reverse Engineering for Rapid Replacement of Parts

Indigenous product development using conventional means involves a relatively long lead-time and cost, especially for replacing worn-out and broken parts. This paper presents methodologies and technologies for computer-aided reverse engineering, illustrated by a real-life case study of an aluminium-alloy separator body of a hydraulic filter assembly for a special army vehicle. It involved reconstruction of part geometry using 3D scanning, material identification using spectrometry, casting process optimisation using simulation software, and fabrication of prototype and tooling using rapid prototyping systems. It was found that the fabrication of wax patterns directly from reverse engineered CAD data in a suitable RP system (such as Thermojet), followed by conventional investment casting, gives a reliable and economic route for rapid development of one-off intricate parts for replacement purpose. Keywords: Computer Aided Design, Metal Casting, Process Simulation, Rapid Prototyping, Reverse Engineering, Solid Modeling, Spectrometry.

D. K. Pal

Papers

Rapid tooling route selection for metal casting using QFD-ANP methodology

Computer-aided Reverse Engineering for Rapid Replacement of Parts

Computer-Aided Reverse Engineering for Rapid Replacement Parts: A Case Study