17,512 research outputs found

    Collaborative improvement as an inspiration for supply chain collaboration

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    The battlefield of competition is today moving from the level of\ud individual firms to the one of the extended enterprises, that is, networks of customers and their suppliers. This paper discusses how learning and continuous improvement today take place in processes based on daily collaboration at intercompany level, i.e. Extended Manufacturing Enterprises (EMEs). The purpose of the paper is to present a preliminary theory on Collaborative Improvement (CoI), i.e. continuous improvement at the EME level. Based on a literature review on Supply Networks, and Continuous Improvement and on evidence from two explorative case studies, the paper proposes a model for Collaborative Improvement in EMEs and discusses a research approach based on Action Research and Action Learning to further develop preliminary theory and actionable knowledge on how to foster and sustain CoI in EMEs

    Enablers and Constraints in Implementing Lean Manufacturing: evidence from Brazilian SMEs

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    Lean Manufacturing has revolutionized the global manufacturing environment at an unprecedented rate. In scholarly and managerial literature, many works have reported that Lean Manufacturing is a very efficient approach and a straightforward way towards process improvements, in terms of productivity and value adding activities ratio. However, many studies on Lean Manufacturing have highlighted many problems in its implementation. The analysis carried out within the research project is aimed to the factors enabling or constraining the Lean Transformation of a firmā€™s production system, along with the most relevant tools or practices to be applied. The research methodology used is the so-called ā€œNormative Delphiā€ with a panel formed by 32 experts coming from 16 Brazilian SMEs. Our results are partially consistent with what has already been discussed in the literature and we found that the most relevant tools/practices are: value stream mapping, 5S methodology, and Kaizen (Gemba walks); the top three enabling factors are: knowledge and sponsorship of senior management, focus on continuous improvement, and employee development fostered by the company; finally, the main critical constraints are: little support from the top management, resistance to change by middle management, and poor or non-qualified Lean training activities

    The challenges for sustainable skills development in the UK automotive supply sector: policy and implementation

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    Original paper can be found at: http://www.gerpisa.univ-evry.fr/rencontre/16.rencontre/GERPISAJune2008/home.htmlThe European Automotive industry is a key strategic player in the European Union with an estimated 10 million workers. The majority of these work in the supply chain (CLEPA 2005). As a major employer, the sector must work to maintain its competitive edge if it is to keep that workforce engaged.Final Accepted Versio

    Development of a mapping system engineering approaches to classic product development processes of technical products: A work project of project management in product development

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    Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe automotive industry faces the challenge of meeting customer requirements while ensuring technological advancements, fast and cost-effective development, and high-quality production. Information systems play a crucial role in efficiently designing internal processes and meeting customer demands. Personalized solutions are increasingly adopted to cater to individual preferences while maintaining up-to-date technology. Information systems are utilized to record and manage customer requirements, optimize production processes, control inventories, and facilitate effective communication between departments. Product data management (PDM) solutions are widely employed, with 77% of automotive companies implementing them. PDM encompasses the storage and management of data relevant to product development, supporting the entire product lifecycle. As product complexity grows, efficient management of product data becomes essential, along with the optimization of business processes to shorten development time and parallelize tasks. CAx coordination, involving computer-aided design (CAD), manufacturing (CAM), and engineering (CAE), ensures smooth communication and coordination across the product development process. PDM systems act as intermediaries between CAx coordination and enterprise resource planning systems, facilitating seamless integration of design and manufacturing processes. Leading providers of enterprise resource planning and CAD systems offer software solutions for product lifecycle management and PDM, enabling centralized and accessible product information, streamlining development and management processes

    Supply chain decision making supported by an Open books policy

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    Based on a study of a buyerā€“seller relationship in the automotive industry, this article identifies 17 different decision-making processes where openly sharing cost dataā€”a so-called open books policyā€”plays an important supporting role. These processes relate to supplier selection, various activities that occur prior to production, and the full-speed production stage of the exchange process. Overall, open books plays the greatest role in the pre-production stage, although it is found to support decision-making relating to supplier selection and decision-making during full-speed production to a greater extent than the literature recognizes

    Š”Š¾ŃŠ»Ń–Š“Š¶ŠµŠ½Š½Ń сŠøстŠµŠ¼Šø Š¾ŠæŠµŃ€Š°Ń†Ń–Š¹Š½Š¾Š³Š¾ Š¼ŠµŠ½ŠµŠ“Š¶Š¼ŠµŠ½Ń‚Ńƒ Š¾Ń€Š³Š°Š½Ń–Š·Š°Ń†Ń–Ń—, Š½Š° ŠæрŠøŠŗŠ»Š°Š“і Apple Computer, Inc

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    The object of investigation is the process of managing of operating activities of Apple, Inc. The aim of the work is to formulate theoretical approaches and to develop practical recommendations on directions of improvement of operating management at the organization. Research methods cover methods of analysis, synthesis, comparison, detailing, system approach. This masterā€™s research paper analyzes the operational management of Apple, Inc. and provides recommendations for itā€™s improvement. In particular, the main directions of solving the problems of operational management of the company have been outlined, the proposals on improvement of expansion distribution network and organization of innovative activity of the Apple Inc. have been made.ŠžŠ±'єŠŗт Š“Š¾ŃŠ»Ń–Š“Š¶ŠµŠ½Š½Ń ā€’ ŠæрŠ¾Ń†ŠµŃ уŠæрŠ°Š²Š»Ń–Š½Š½Ń Š¾ŠæŠµŃ€Š°Ń†Ń–Š¹Š½Š¾ŃŽ Š“іяŠ»ŃŒŠ½Ń–стю ŠŗŠ¾Š¼ŠæŠ°Š½Ń–Ń— Apple, Inc. ŠœŠµŃ‚Š° Š“Š¾ŃŠ»Ń–Š“Š¶ŠµŠ½Š½Ń - фŠ¾Ń€Š¼ŃƒŠ²Š°Š½Š½Ń тŠµŠ¾Ń€ŠµŃ‚ŠøчŠ½Šøх ŠæіŠ“хŠ¾Š“іŠ² тŠ° рŠ¾Š·Ń€Š¾Š±ŠŗŠ° ŠæрŠ°ŠŗтŠøчŠ½Šøх рŠµŠŗŠ¾Š¼ŠµŠ½Š“Š°Ń†Ń–Š¹ щŠ¾Š“Š¾ Š½Š°ŠæряŠ¼Ń–Š² Š²Š“Š¾ŃŠŗŠ¾Š½Š°Š»ŠµŠ½Š½Ń сŠøстŠµŠ¼Šø Š¾ŠæŠµŃ€Š°Ń†Ń–Š¹Š½Š¾Š³Š¾ Š¼ŠµŠ½ŠµŠ“Š¶Š¼ŠµŠ½Ń‚Ńƒ ŠŗŠ¾Š¼ŠæŠ°Š½Ń–Ń— Apple, Inc. ŠœŠµŃ‚Š¾Š“Šø Š“Š¾ŃŠ»Ń–Š“Š¶ŠµŠ½Š½Ń: Š¼ŠµŃ‚Š¾Š“Šø Š°Š½Š°Š»Ń–Š·Ńƒ, сŠøŠ½Ń‚ŠµŠ·Ńƒ, ŠæŠ¾Ń€Ń–Š²Š½ŃŠ½Š½Ń, Š“ŠµŃ‚Š°Š»Ń–Š·Š°Ń†Ń–Ń—, сŠøстŠµŠ¼Š½ŠøŠ¹ ŠæіŠ“хіŠ“. Š£ рŠ¾Š±Š¾Ń‚Ń– ŠæрŠ¾Š²ŠµŠ“ŠµŠ½Š¾ Š°Š½Š°Š»Ń–Š· Š¾ŠæŠµŃ€Š°Ń†Ń–Š¹Š½Š¾Š³Š¾ Š¼ŠµŠ½ŠµŠ“Š¶Š¼ŠµŠ½Ń‚Ńƒ Apple, Inc., Š° тŠ°ŠŗŠ¾Š¶ Š²ŠøŠŗŠ»Š°Š“ŠµŠ½Ń– рŠµŠŗŠ¾Š¼ŠµŠ½Š“Š°Ń†Ń–Ń— щŠ¾Š“Š¾ Š¹Š¾Š³Š¾ Š²Š“Š¾ŃŠŗŠ¾Š½Š°Š»ŠµŠ½Š½Ń. Š—Š¾ŠŗрŠµŠ¼Š°, Š¾ŠŗрŠµŃŠ»ŠµŠ½Š¾ Š¾ŃŠ½Š¾Š²Š½Ń– Š½Š°ŠæряŠ¼Šø Š²ŠøрішŠµŠ½Š½Ń ŠæрŠ¾Š±Š»ŠµŠ¼ Š¾ŠæŠµŃ€Š°Ń†Ń–Š¹Š½Š¾Š³Š¾ Š¼ŠµŠ½ŠµŠ“Š¶Š¼ŠµŠ½Ń‚Ńƒ ŠŗŠ¾Š¼ŠæŠ°Š½Ń–Ń—, Š²Š½ŠµŃŠµŠ½Š¾ ŠæрŠ¾ŠæŠ¾Š·Šøції щŠ¾Š“Š¾ рŠ¾Š·ŃˆŠøрŠµŠ½Š½Ń Š“ŠøстрŠøŠ±ā€™ŃŽŃ‚Š¾Ń€ŃŃŒŠŗŠ¾Ń— Š¼ŠµŃ€ŠµŠ¶Ń–, Š° тŠ°ŠŗŠ¾Š¶ Š²Š“Š¾ŃŠŗŠ¾Š½Š°Š»ŠµŠ½Š½Ń Š¾Ń€Š³Š°Š½Ń–Š·Š°Ń†Ń–Ń— іŠ½Š½Š¾Š²Š°Ń†Ń–Š¹Š½Š¾Ń— Š“іяŠ»ŃŒŠ½Š¾ŃŃ‚Ń– Apple Inc.Introduction 6 CHAPTER 1 THE THEORETICAL FRAMEWORK OF OPERATIONAL MANAGEMENT 8 1.1 Meanings and definition of operational management 8 1.2 Principles and methods of operations management 12 1.3 Factors affecting the Operations activity of Apple Inc. company 21 CHAPTER 2 RESEARCH AND ANALYSIS 31 2.1 Š”ompany introduction 31 2.2 SWOT - analysis of Apple Inc. Company 46 2.3 Analysis of operation management at Apple Inc 50 CHAPTER 3 RECOMMENDATIONS FOR IMPROVING OF OPERATIONAL MANAGEMENT AT THE APPLE INC 63 3.1 The main directions of solving operational management problems of the company 63 3.2 Recommendations concerning improvements of Distribution in the organization 65 3.3 Recommendations concerning improvements of innovative activity at the organization 67 CHAPTER 4 SPECIAL PART 73 4.1 Current trends in the field 73 4.2 Company policy in the market 75 CHAPTER 5 RATIONALE FOR RECOMMENDATIONS 77 5.1 Statement for recommendations at Company 77 CHAPTER 6 OCCUPATIONAL HEALTH AND SAFETY AT THE ENTERPRISE 79 6.1 The aim of occupational health 79 6.2 Organization of occupational health and safety at the enterprise 86 CHAPTER 7 ENVIRONMENTAL ISSUES 92 7.1 Environmental issues in the field 92 7.2 Š•nvironmental factors 94 Conclusions 96 References 98 Appendices 10

    Networking Innovation in the European Car Industry : Does the Open Innovation Model Fit?

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    The automobile industry is has entered an innovation race. Uncertain technological trends, long development cycles, highly capital intensive product development, saturated markets, and environmental and safety regulations have subjected the sector to major transformations. The technological and organizational innovations related to these transformations necessitate research that can enhance our understanding of the characteristics of the new systems and extrapolate the implications for companies as well as for the wider economy. Is the industry ready to change and accelerate the pace of its innovation and adaptability? Have the traditional supply chains transformed into supply networks and regional automobile ecosystems? The study investigates the applicability of the Open Innovation concept to a mature capital-intensive asset-based industry, which is preparing for a radical technological discontinuity - the European automobile industry - through interviewing purposely selected knowledgeable respondents across seven European countries. The findings contribute to the understanding of the OI concept by identifying key obstacles to the wider adoption of the OI model, and signalling the importance of intermediaries and large incumbents for driving network development and OI practices as well as the need of new competencies to be developed by all players.Peer reviewe

    Lean and green ā€“ a systematic review of the state of the art literature

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    The move towards greener operations and products has forced companies to seek alternatives to balance efficiency gains and environmental friendliness in their operations and products. The exploration of the sequential or simultaneous deployment of lean and green initiatives is the results of this balancing action. However, the lean-green topic is relatively new, and it lacks of a clear and structured research definition. Thus, this paperā€™s main contribution is the offering of a systematic review of the existing literature on lean and green, aimed at providing guidance on the topic, uncovering gaps and inconsistencies in the literature, and finding new paths for research. The paper identifies and structures, through a concept map, six main research streams that comprise both conceptual and empirical research conducted within the context of various organisational functions and industrial sectors. Important issues for future research are then suggested in the form of research questions. The paperā€™s aim is to also contribute by stimulating scholars to further study this area in depth, which will lead to a better understanding of the compatibility and impact on organisational performance of lean and green initiatives. It also holds important implications for industrialists, who can develop a deeper and richer knowledge on lean and green to help them formulate more effective strategies for their deployment

    Implementing Agile Methodology Techniques in Automobile Industry

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    Automotive industries have continued to expand, as they cut on costs by regulating efficiency, grow and make profits. The factors that have continued to change the industry include marketplace growth, outsourcing for product development, customers demanding for improved reliability, development of human-vehicle software and have continued to change the automotive industry. As a result, companies have continued to face numerous challenges to manage the factors. The challenges include managing volatility, experiencing massive uncertainty, as well as reduced predictability of future businesses. Other challenges include handling a complex and interconnected industry and the need to form joint ventures and maintain successful supplier relationships. The Automotive businesses must change their operating models to advance agility. An example includes ensuring OEMs is flexible to operate across the value chain and provide value-add, as well as personalized experiences. The Automotive companies must learn from Google and Uber that have embraced digital activities to market new business models that can promote innovation. The study conducted by Crute et al. (2013) showed that over 30% of automotive businesses are willing to invest in advanced business models likely to drive value from new capabilities. According to Elkins et al. (2014), having an advanced operating model permit digital abilities that could reduce costs and support growth. While rethinking of an operating model, the automotive companies must choose the ones that are digital to help them improve efficiency as well as agility. According to Hallgren and Olhanger, (2009), when companies operate on lean strategies, then they free up costs that could likely to be reinvented to other significant fuel growth strategies and maintain a competitive advantage in the industry. When companies invest in new business models and advanced digital abilities, then they engage in aggressive growth. An example includes automotive firms moving beyond manufacturing of vehicles to join the wider ecosystem that opens new business opportunities to build new capabilities, collaborate with other partners to invest heavily in innovation (Poppendieck & Cusumano, 2012). The focus is on improving customer experiences through expansion strategies that include joint ventures or acquisitions. It is impossible for companies to enhance efficiency and performance without having a talented staff that is committed to the delivery of quality products and services. Digital activities and innovation-driven automotive industry have increased stakes for company processes across the value chain. Devadasan (2012), therefore believes dealerships, OEMs, and manufacturers of vehicle parts require individuals that are digital savvy to initiate the transition to digital corporations (Tuck et al. 2006). The techno-savvy employees use digital strategies to improve customer experience, leading to many companies to invest in human resource practices such as training of employees
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