41,833 research outputs found

    Assessing partnership alternatives in an IT network employing analytical methods

    Get PDF
    One of the main critical success factors for the companies is their ability to build and maintain an effective collaborative network. This is more critical in the IT industry where the development of sustainable competitive advantage requires an integration of various resources, platforms, and capabilities provided by various actors. Employing such a collaborative network will dramatically change the operations management and promote flexibility and agility. Despite its importance, there is a lack of an analytical tool on collaborative network building process. In this paper, we propose an optimization model employing AHP and multiobjective programming for collaborative network building process based on two interorganizational relationships’ theories, namely, (i) transaction cost theory and (ii) resource-based view, which are representative of short-term and long-term considerations. The five different methods were employed to solve the formulation and their performances were compared. The model is implemented in an IT company who was in process of developing a large-scale enterprise resource planning (ERP) system. The results show that the collaborative network formed through this selection process was more efficient in terms of cost, time, and development speed. The framework offers novel theoretical underpinning and analytical solutions and can be used as an effective tool in selecting network alternatives

    A robust fuzzy possibilistic AHP approach for partner selection in international strategic alliance

    Get PDF
    The international strategic alliance is an inevitable solution for making competitive advantage and reducing the risk in today’s business environment. Partner selection is an important part in success of partnerships, and meanwhile it is a complicated decision because of various dimensions of the problem and inherent conflicts of stockholders. The purpose of this paper is to provide a practical approach to the problem of partner selection in international strategic alliances, which fulfills the gap between theories of inter-organizational relationships and quantitative models. Thus, a novel Robust Fuzzy Possibilistic AHP approach is proposed for combining the benefits of two complementary theories of inter-organizational relationships named, (1) Resource-based view, and (2) Transaction-cost theory and considering Fit theory as the perquisite of alliance success. The Robust Fuzzy Possibilistic AHP approach is a noveldevelopment of Interval-AHP technique employing robust formulation; aimed at handling the ambiguity of the problem and let the use of intervals as pairwise judgments. The proposed approach was compared with existing approaches, and the results show that it provides the best quality solutions in terms of minimum error degree. Moreover, the framework implemented in a case study and its applicability were discussed

    Transit Agencies Performance Assessment and Implications

    Get PDF
    Although most transit systems operate in small urban and rural areas in the United States, these systems have rarely received the same attention as their urban counterparts, both in terms of ensuring the efficiency and effectiveness of their operations and understanding the factors that affect their performance. This thesis\u27s main goals are to assess the performance of rural and small urban public transit agencies and help them evaluate adopting a ridehailing program, thereby improving their performance. We applied operations research and decision-making tools to two public transit projects in small urban and rural areas. The first project focuses on three models developed to evaluate the efficiency, effectiveness, and combined efficiency-effectiveness of rural transit agencies using data envelopment analysis. The models were estimated for the case study of transit systems in rural Appalachia and measured the agencies\u27 performance relative to their peers. Besides, the returns to scale were explored in the context of rural transit management. The second project focused on employing ridehailing programs in small urban and rural areas to improve agencies’ performance and reach. The most relevant criteria were identified to evaluate the performance of different ridehailing programs using multi-criteria decision analysis methodology. To perform a set of MCDA methods, we used the perceived rating of each ridehailing program according to the stakeholders\u27 opinions with respect to each criterion. The framework was estimated for the case study of Mountain Line Transit Authority in Morgantown, WV

    A methodology to select suppliers to increase sustainability within supply chains

    Full text link
    [EN] Sustainability practice within supply chains remains in an early development phase. Enterprises still need tools that support the integration of sustainability strategy into their activity, and to align their sustainability strategy with the supplier selection process. This paper proposes a methodology using a multi-criteria technique to support supplier selection decisions by taking two groups of inputs that integrate sustainability performance: supply chain performance and supplier assessment criteria. With the proposed methodology, organisations will have a tool to select suppliers based on their development towards sustainability and on their alignment with the supply chain strategy towards sustainability. The methodology is applied to an agri-food supply chain to assess sustainability in the supplier selection process.The authors of this publication acknowledge the contribution of Project GV/2017/065 'Development of a decision support tool for the management and improvement of sustainability in supply chains', funded by the Regional Valencian Government. Also, the authors acknowledge Project 691249, RUC-APS: Enhancing and implementing knowledge-based ICT solutions within high risk and uncertain conditions for agriculture production systems (www.ruc-aps.eu), funded by the European Union according to funding scheme H2020-MSCA-RISE-2015.Verdecho Sáez, MJ.; Alarcón Valero, F.; Pérez Perales, D.; Alfaro Saiz, JJ.; Rodríguez Rodríguez, R. (2021). A methodology to select suppliers to increase sustainability within supply chains. Central European Journal of Operations Research. 29:1231-1251. https://doi.org/10.1007/s10100-019-00668-3S1231125129Agarwal G, Vijayvargy L (2012) Green supplier assessment in environmentally responsive supply chains through analytical network process. In: Proceedings international multiconference of engineers and computer scientists, Hong KongAgeron B, Gunasekaran A, Spalanzani A (2012) Sustainable supply management: an empirical study. Int J Prod Econ 140(1):168–182Akarte MM, Surendra NV, Ravi B, Rangaraj N (2001) Web based casting supplier evaluation using analytical hierarchy process. J Oper Res Soc 52:511–522Alfaro Saiz JJ, Rodríguez R, Ortiz Bas A, Verdecho MJ (2010) An information architecture for a performance management framework by collaborating SMEs. Comput Ind 61:676–685Alfaro JJ, Ortiz A, Rodríguez R (2007) Performance measurement system for enterprise networks. Int J Prod Perform Manag 56(4):305–334Awasthi A, Govindan K, Gold S (2018) Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. Int J Prod Econ 195:106–117Azadnia AH, Ghadimi P, Zameri M, Saman M, Wong KY, Heavey C (2013) An integrated approach for sustainable supplier selection using fuzzy logic and fuzzy AHP. Appl Mech Mater 315:206–221Azimifard A, Moosavirad SH, Ariafar S (2018) Selecting sustainable supplier countries for Iran’s steel industry at three levels by using AHP and TOPSIS methods. Resour Pol 57:30–44Bai C, Sarkis J (2010) Integrating sustainability into supplier selection with grey system and rough set methodologies. Int J Prod Econ 124:252–264Bhagwat R, Sharma MK (2007) Performance measurement of supply chain management: a balanced scorecard approach. Comput Ind Eng 53(1):43–62Bititci US, Mendibil K, Martinez V, Albores P (2005) Measuring and managing performance in extended enterprises. Int J Oper Prod Manag 25(4):333–353Brewer PC, Speh TW (2000) Using the balanced scorecard to measure supply chain performance. J Bus Logist 21(1):75–93Bullinger HJ, Kühner M, Hoof AV (2002) Analysing supply chain performance using a balanced measurement method. Int J Prod Res 40(15):3533–3543Chan FTS (2003) Interactive selection model for supplier selection process: an analytical hierarchy process approach. Int J Prod Res 41(15):3549–3579De Boer L, Labro E, Morlacchi P (2001) A review of methods supporting supplier selection. Eur J Purch Supply Manag 7(2):75–89Degraeve Z, Labro E, Roodhooft F (2000) An evaluation of supplier selection methods from a total cost of ownership perspective. Eur J Oper Res 125(1):34–58Dobos I, Vörösmarty G (2014) Green supplier selection and evaluation using DEA-type composite indicators. Int J of Prod Econ 157(11):273–278Dou Y, Sarkis J (2010) A joint location and outsourcing sustainability analysis for a strategic offshoring decision. Int J Prod Res 48(2):567–592Dyllick T, Hockerts K (2002) Beyond the business case for corporate sustainability. Bus Strategy Environ 11:130–141Falatoonitoosi E, Leman Z, Sorooshian S (2013) Modeling for green supply chain evaluation. Math Probl Eng 2013:1–9Farzad T, Rasid OM, Aidy A, Rosnah MY, Alireza E (2008) AHP approach for supplier evaluation and selection in a steel manufacturing company. JIEM 1(2):54–76Ferreira LMDF, Silva C, Garrido Azevedo S (2016) An environmental balanced scorecard for supply chain performance measurement (Env_BSC_4_SCPM). Benchmark Int J 23(6):1398–1422Figge F, Hahn T, Schaltegger S, Wagner M (2002) The sustainability balanced scorecard: linking sustainability management to business strategy. Bus Strat Env 11:269–284Folan P, Browne J (2005) Development of an extended enterprise performance measurement system. Prod Plan Control 16(6):531–544Freeman J, Chen T (2015) Green supplier selection using an AHP-entropy-TOPSIS framework. Supply Chain Manag 20:327–340Genovese A, Koh L, Bruno G, Esposito E (2013) Greener supplier selection: state of the art and some empirical evidence. Int J Prod Res 51(10):2868–2886Ghodsypour SH, O’Brien C (1998) A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. Int J Prod Econ 56–57:199–212Glock CH, Grosse EH, Ries JM (2017) Decision support models for supplier development: systematic literature review and research agenda. Int J Prod Econ 194:246–260Govindan K, Khodaverdi R, Jafarian A (2013) A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. J Clean Prod 47:345–354Govindan K, Rajendran S, Sarkis J, Murugesan P (2015) Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J Clean Prod 98:66–83Gunasekaran A, Patel C, Tirtiroglu E (2001) Performance measures and metrics in a supply chain environment. Int J Oper Prod Manag 21(1/2):71–87Ho W, Xu X, Dey PK (2010) Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur J Oper Res 202:16–24Hsu CW, Hu AH (2009) Applying hazardous substance management to supplier selection using analytic network process. J Clean Prod 17(2):255–264Hsu CW, Kuo TC, Chen SH, Hu AH (2013) Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. J Clean Prod 56:164–172Huan SH, Sheoran SK, Wang G (2004) A review and analysis of supply chain operations reference (SCOR) model. Supply Chain Manag Int J 9(9):23–29Hutchins M, Sutherland JH (2008) An exploration of measures of social sustainability and their application to supply chain decisions. J Clean Prod 16(15):1688–1698Igarashi M, Boer L, Magerholm Fet A (2013) What is required for greener supplier selection? A literature review and conceptual model development. J Purch Supply Manag 19(4):247–263Jimenez-Jimenez D, Martínez-Costa M, Sanchez Rodriguez C (2019) The mediating role of supply chain collaboration on the relationship between information technology and innovation. J Knowl Manag 23(3):548–567Kaplan RS, Norton DP (1992) The balanced scorecard: measures that drive performance. Harvard Bus Rev 70(1):71–79Luthra S, Govindan K, Kannan D, Kumar Mangla S, Prakash Garg C (2017) An integrated framework for sustainable supplier selection and evaluation in supply chains. J Clean Prod 140:1686–1698Maestrini V, Luzzini D, Maccarrone P, Caniato F (2017) Supply chain performance measurement systems: a systematic review and research agenda. Int J Prod Econ 183A:299–315Masella C, Rangone A (2000) A contingent approach to the design of vendor selection systems for different types of co-operative customer/supplier relationships. Int J Oper Prod Manag 20(1):70–84Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev 63:81–97Mohammed A, Harris I, Govindan K (2019) A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. Int J Prod Econ 217:171–184Motevali-Haghighi S, Torabi SA, Ghasemi R (2016) An integrated approach for performance evaluation in sustainable supply chain networks (with a case study). J Clean Prod 137:579–597Nawaz W, Koç M (2018) Development of a systematic framework for sustainability management of organizations. J Clean Prod 171:1255–1274Nie X (2013) Green suppliers selecting based on analytic hierarchy process for biotechnology industry. In: Zhong Z (ed) Proceedings of the international conference on information engineering and applications. Springer, London, pp 253–260Nielsen IE, Banaeian N, Golińska P, Mobli H, Omid M (2014) Green supplier selection criteria: from a literature review to a flexible framework for determination of suitable criteria. In: Golinska P (ed) Logistics operations, supply chain management and sustainability. Springer, Cham, pp 79–99Noci G (1997) Designing ‘green’ vendor rating systems for the assessment of a supplier’s environmental performance. Eur J Purch Supply Manag 3(2):103–114Petersen KJ, Handfield RB, Ragatz GL (2005) Supplier integration into new product development: coordinating product, process and supply chain design. J Oper Manag 23:371–388Pishchulov G, Trautrims A, Chesney T, Gold S, Schwab L (2019) The voting analytic hierarchy process revisited: a revised method with application to sustainable supplier selection. Int J Prod Econ 211:166–179Popovic T, Kraslawski A, Barbosa-Póvoa A, Carvalho A (2017) Quantitative indicators for social sustainability assessment of society and product responsibility aspects in supply chains. J Int Stud 10(4):9–36Qorri A, Mujki Z, Kraslawski A (2018) A conceptual framework for measuring sustainability performance of supply chains. J Clean Prod 189:570–584Reefke H, Trocchi M (2013) Balanced scorecard for sustainable supply chains: design and development guidelines. Int J Prod Perform Manag 62(8):805–826Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New YorkSaaty RW (1987) The analytic hierarchy process: what it is and how it is used. Math Model 9(3–5):161–176Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98Saaty TL, Ozdemir MS (2003) Why the magic number seven plus or minus two. Math Comput Model 38(3–4):233–244Seuring S, Müller M (2008) From a literature review to a conceptual framework for sustainable supply chain management. J Clean Prod 16:1699–1710Shaik M, Abdul-Kader W (2011) Green supplier selection generic framework: a multi-attribute utility theory approach. Int J Sustain Eng 4(1):37–56Shi P, Yan B, Shi S, Ke C (2015) A decision support system to select suppliers for a sustainable supply chain based on a systematic DEA approach. Inf Technol Manag 16(1):39–49Superdecisions (2018) Tutorial on hierarchical decision models. Creative Decisions Foundation. https://www.superdecisions.com/sd_resources/v28_man03.pdf. Accessed 7 Jan 2018Thakkar J, Kanda A, Deshmukh S (2009) Supply chain performance measurement framework for small and medium scale enterprises. Benchmark Int J 16(5):702–723Theißen S, Spinler S (2014) Strategic analysis of manufacturer–supplier partnerships: an ANP model for collaborative CO2 reduction management. Eur J Oper Res 233(2):383–397Tseng ML, Lim M, Wong WP (2015) Sustainable supply chain management: a closed-loop network hierarchical approach. Ind Manag Data Syst 115(3):436–461Uysal F (2012) An integrated model for sustainable performance measurement in supply chain. Proc Soc Behav Sci 62:689–694Valenzuela L, Maturana S (2016) Designing a three-dimensional performance measurement system (SMD3D) for the wine industry: a Chilean example. Agric Syst 142:112–121Verdecho MJ, Alfaro-Saiz JJ, Rodriguez-Rodriguez R, Ortiz-Bas A (2012) A multi-criteria approach for managing inter-enterprise collaborative relationships. Omega 40:249–263Virender P, Jayant A (2014) A green supplier selection model for an agriculture-machinery industry. Int J Appl Eng Res 9(5):597–605Weber CA, Current JR, Benton WC (1991) Vendor selection criteria and methods. Eur J Oper Res 50(1):2–18Xu L, Kumar DT, Madan Shankar K, Kannan D, Chen G (2013) Analyzing criteria and sub-criteria for the corporate social responsibility-based supplier selection process using AHP. Int J Adv Manuf Technol 68(1–4):907–916Xu Z, Qin J, Liu J, Martínez L (2019) Sustainable supplier selection based on AHP Sort II in interval type-2 fuzzy environment. Inf Sci 483:273–293Zaklad A, McKnight R, Kosansky A, Piermarini J (2004) The social side of the supply chain. Ind Eng 36(2):40–44Zhe S, Wong NT, Lee LH (2013) Using data envelopment analysis for supplier evaluation with environmental considerations. In: International systems conference, OrlandoZimmer K, Fröhling M, Schultmann F (2016) Sustainable supplier management: a review of models supporting sustainable supplier selection, monitoring and development. Int J Prod Res 54(5):1412–144

    Capability-actor-resource-service : a conceptual modelling approach for value-driven strategic sourcing

    Get PDF
    This PhD research addresses a problem within strategic sourcing, which is a critical area of strategic management that is centered on decision-making related to procurement. Strategic sourcing is related to two disciplines: (i) procurement and supply management and (ii) strategic management. Sourcing is the strategic part of procurement that refers to tasks like determining cost saving and value-driven opportunities, choosing the most appropriate go-to market strategies, and selecting and evaluating suppliers for building long-term and short-term contractual relationships. Many companies face challenges in obtaining the benefits associated with effective strategic sourcing. Although the concept of strategic sourcing is fairly well recognized, managers are still challenged by many barriers to its implementation. The main problem is the lack of practical instruments (i.e., tools and techniques) to implement the value-driven management approach to strategic sourcing, while at the same time preparing companies for fact-based decision-making by delivering data management and data analytics capabilities. This is the problem which is addressed with this PhD research. To address this problem, the research goal has been defined as “develop a modeling approach that enables companies 1) to drive fact-based decision-making with respect to procurement data management and procurement analytics”; and 2) to implement strategic sourcing toward achieving value-driven targets”. We apply conceptual modeling as our main solution approach to achieve the above research goal. We define three major areas where conceptual modeling can contribute to strategic sourcing decision-making: conceptualization, design and computer support. The proposed conceptual modeling approach is characterized by four different perspectives: (i) a way of thinking (i.e., a conceptual foundation), (ii) a way of modeling (i.e., a modeling language and method to use it), (iii) a way of working (i.e., a model-based analysis approach), and (iv) a way of supporting (i.e., a computer-aided design tool). The scope of PhD research is limited to the first three perspectives, while for the fourth perspective a solution architecture will be proposed as part of future research. This PhD dissertation is a paper-based dissertation consisting of six chapters. Three chapters (chapter 3, 4, 5) of this dissertation have been submitted to international peer-reviewed journals (chapter 4 is published and chapters 3 and 5 are accepted) and one chapter (chapter 2) has been published in the post-conference proceedings of an international workshop

    The Open Method of Coordination and integration theory: are there lessons to be learned?

    Get PDF
    This paper seeks to contextualize the Open Method of Coordination (OMC) and enrich our understanding of it by submitting constructivist insights to its policy assessment with a focus on the Employment Strategy (EES). The most developed and longest-standing OMC policy area, employment provides fertile ground for the assessment of a rapidly expanding theoretical perspective in IR and European integration applied to a growing policy process. Normative considerations as to the essence of the EU and its future trajectory were highly influential in the process of launching the OMC. The paper provides a framework of integration theory and highlights the particular contribution that the ‘thin’ variant of constructivism has made in understanding different aspects of EU policy and politics. In the next section, the OMC is discussed and its core characteristics identified. I claim that most of the OMC’s core elements are directly linked to constructivist assumptions about policy change. The paper identifies three of those, namely policy discourse, learning and participation in policy-making. I subject those to an empirical and theoretical assessment by use of the relevant literature. Concluding that the record shows such mechanisms to be hardly present in the Employment Policy OMC, I argue that an institutionalist reading of OMC provides a credible alternative by focusing on power resources, preferences and strategies available to core OMC actors, namely member states and the Commission. The paper concludes with a twofold argument: firstly, constructivist hopes on OMC are, at least in the current context, ill-founded. Secondly, while the OMC retains a number of advantages, practical policy suggestions that will enhance its appeal to policy-makers and the public alike are due before it becomes a credible policy option

    CAPRi technical workshop on Watershed Management Institutions: a summary paper

    Get PDF
    The System-wide Program for Collective Action and Property Rights (CAPRi) sponsored a workshop on Watershed Management Institutions, March 13-16, 1999 in Managua, Nicaragua. The workshop focused on methodologies for undertaking research on watersheds, particularly those issues and tools that enable a more thorough understanding of the complex interactions between the biophysical factors and socioeconomic institutions of watersheds. Both social and biophysical scientists from CGIAR and other research institutions were brought together to present research and participate in focused discussions on methodologies for addressing collective action and property rights, scale, participation, and impact assessment. The forum also provided an opportunity for participants to visit and learn from a watershed project being implemented by the International Center for Tropical Agriculture (CIAT), and to discuss one another's ongoing watershed research project experience and explore opportunities for collaboration.International Food Policy Research Institute (IFPRI), International Center for Tropical Agriculture (CIAT), Impact assessment,
    corecore