Outsourcing Of Parts Research Articles

3D Printing and its Effect on Outsourcing: A Study of the Indian Aircraft Industry

Indian Aircraft Industry has emerged as one of the rapid growing industrial endeavors in the world, with automation in most of its production and manufacturing areas. Technological advancements have led to this growth and, over the years, competitiveness has made the industry to effi ciently look for avenues and other strategic alliances. In this direction, 3D printing technology has opened many opportunities. This study is focused on explaining the 3D printing technology utilization for production and servicing apart from developing a methodology to outsource various automated technologies to the tier-2/tier-3 companies basing themselves on specifi ed parameters and capabilities by using the 3D printing. 3D printing in manufacturing industry, particularly in aircraft manufacture, has brought in novel prospective along with new challenges posturing new methodologies and innovative approaches to meet the global standards. In this line, the Indian Aircraft Industry has started redistributing its sourcing by outsourcing of certain non-strategic facilities and parts that can be manufactured with the use of 3D printing/ additive manufacturing, computerization and automation to outsiders, aiming at development of capabilities in the partnership industry, to provide the scope for generating high volume at the affi liated industries to pave way for a win-win ground. Already playing a good role in aircraft engine manufacture at Indian aircraft industry, 3D printing is going to play a more vital role in the total aircraft manufacture and avionics in the next few years, if the present scenario is pragmatic in line with the industrial needs. With the advantage of “low or zero” waste, less impact on environment, apart from possibility of local manufacture and just-in-time delivery, with greater specifi cation of the fi nal product, outsourcing of the parts and products for the entire aircraft manufacture will be a reality as per the current research, thriving on improved production volumes of similar parts for various end users. Research further suggests that outsourcing confi guration is looking to invest in the new methods and “timely production” would become an assurance with 3D printing.

Identifying Optimum Supply Unit Using an Integrated Fuzzy TOPSIS and MCGP Approach in Apparel Industry Sector

With the inexorability of globalization and open trade system, there has been extension of large business with an increase in the outsourcing of parts and services especially in the apparel sector. Increasing in number, the apparel industries confront dormant competition and need to emphasize on some technical key points to be fortitude. Purchasing and its associated functions are the eminent fields playing important role in this connection as it is most decisive and most of the production cost and time are spent regard to those. As for trading, apparel sector products normally categorize into two - push and pull while pull products are executed in anticipation of the customer order and push products are initiated according to customer order. It engenders dealings with risk and cause more investment which may incur a loss to the industries because of any faltering decision. Appropriate supplier and supply quantity selection triggers the probably of success as other parameters evolve by these and hence they are most important and can reduce risk if it can be handled combined for several products. Using fuzzy-TOPSIS and MCGP, the paper determines the joint (push and pull) amount to take from each supplier based on their performance ranking on selected criteria considering budget, delivery, demand and supply constraints. The result generated solving a LP model formed on the basis of opportunity and threats. The model is solved by LINDO system. The strength of presenting approach is its practical applicability and ability to provide solution under partial or lack of quantitative information and in joint order handling.

Participatory risk management: concept and illustration

This paper introduces the concept of participatory risk management (PRM), the outsourcing of parts of the risk management process to a wide audience of participants, whether from communities affected by risk or netizens willing to lend a helping (analytic) hand. PRM consists of six parts that closely follows the ISO31000 risk management framework: tasking and requirements, participatory risk identification, participatory risk analysis, participatory risk evaluation, participatory risk mitigation and communication. Each phase leverages one or more modern crowdsourcing concepts, such as participatory sensing, human computation, and games with a purpose. A potential PRM gaming system for incentivising community risk management through rewarding play is presented as an example application of PRM.

O empreendedorismo no contexto das mutações do mundo do trabalho

The present article proposes the analysis, beginning from the second Industrial Revolution, of the changes in the working processes, especially in management models, which affected relationships and therefore social relations. From these relationships, it seeks to clarify and to infer the emergence of entrepreneurship in the present. The genesis of this new acting model, praised by the market, is believed to be derived from scientific management practices, revisited here based of the writings of H. Braverman. Flexible management presents, among other practices, the outsourcing of part of its activities, by adopting the Lean Production. Thus, under the orientation of authors such as F. Chesnais and D. Harvey, it can be evidenced that, initially, there was a strong interest from the capital in discouraging autonomous/independent activity, classifying it as insecure and precarious. Nowadays, the discourse is reversed, i.e. entrepreneurship is seen as a solution for the lack of job posts and market competitiveness, due to the decrease in the high costs generated by labor legislation.

Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company

With the globalization and the emergence of the extended enterprise of interdependent organizations, there has been a steady increase in the outsourcing of parts and services. This has led firms to give more importance to the purchasing function and its associated decisions. Since these decisions require a long term investment for the telecommunication industry especially and affect the strategic positioning of the companies in the sector, the selection of the proper supplier is one of the most important problems. Supplier selection is a multi-criteria problem which includes both tangible and intangible factors. This paper develops a supplier evaluation approach based on the analytic network process (ANP) and the technique for order performance by similarity to ideal solution (TOPSIS) methods to help a telecommunication company in the GSM sector in Turkey under the fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by triangular fuzzy numbers. Contrary to conventional Fuzzy ANP (FANP) methodology in the literature, we use triangular fuzzy numbers in all pairwise comparison matrices in the FANP. Hence, criteria weights are calculated as the triangular fuzzy numbers and then these fuzzy criteria weights are inserted to the fuzzy TOPSIS methodology to rank the alternatives. This approach is demonstrated with a real world case study involving six main evaluation criteria that the company has determined to choose the most appropriate supplier. The study was followed by the sensitivity analyses of the results.

Supplier selection and order lot sizing modeling: A review

With globalization and the emergence of the extended enterprise of interdependent organizations, there has been a steady increase in the outsourcing of parts and services. This has led firms to give more importance to the purchasing function and its associated decisions. One of those decisions which impacts all firms’ areas is the supplier selection. Since the 1950s, several works have addressed this decision by treating different aspects and instances. In this paper, we extend previous survey papers by presenting a literature review that covers the entire purchasing process, considers both parts and services outsourcing activities, and covers internet-based procurement environments such as electronic marketplaces auctions. In view of its complexity, we will focus especially on the final selection stage that consists of determining the best mixture of vendors and allocating orders among them so as to satisfy different purchasing requirements. In addition, we will concentrate mainly on works that employ operations research and computational models. Thereby, we will analyze and expose the main decision's features, and propose different classifications of the published models.