OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings of the National Conference on Trends and Advances in Mechanical Engineering, YMCA University of Science & Technology, Faridabad, Haryana, Oct 19-20, 2012 the one-for-one ordering policy. By using simulation studies, they show that absolute errors are significantly ignorable.(Mousa et al,2011) They examined the qualitative factors which affect the supply chain management (e.g. plant location, supply chain uncertainty, and manufacturing practices) based on performance evaluation models and then give some solutions to improve the performance and show that petrochemical industry supply chain performance is being affected by plant location, supply chain uncertainty and manufacturing practices factors.(Owen Q, Hong Che,2003) They examine the relations between supply chain structures, product differentiation, and demand uncertainty and makes two contributions. First, the analytical marketing literature on channel structures to the supply chain literature on coordination under demand uncertainty. Second, they derive explicit equilibria of different supply chain structures, compare the implications of them, and examine the impact of demand uncertainty. 8. Research gaps in the literature and suggested future research Despite profound contributions by research scholars and academicians of national and international repute on the topic of supplier- manufacturer relationship. The literatures reviewed still have a wide range of gaps which are to be addressed in the upcoming years with focused dedication so as to enhance the concept of supplier-manufacturer relationship in order to bridge a gap between underdeveloped, developing and developed nations. a) The researchers will focus on qualitative criteria in the future rather than a combination of both qualitative and quantitative criteria with existing methods such as AHP. b) Furthermore, an issue regards the distance between the literature and firm’s reality. So, further definition and specification of the criteria are needed. c) For further research the criteria and sub-criteria can be modified with opinions of other experts and alsoother multi criteria decision making (MCDM) methods may be applied to the same problem. d) Novel heuristic approach could be practiced as an effective vendor rating technique and further be employed in more complex vendor selection problem by incorporating more conflicting criteria and sub-criteria such as risk management, supplier profile etc. e) For any companies implementing green management; it indeed requires a systematic and more complete analysis approach to judge which direction is better for companies to develop in the future. f) For future study focus on different stock keeping policies at all stages of a supply chain. The investigation will be based on the spreadsheet simulation; the bullwhip effect will be measured by the standard deviation of orders. g) Use simulation to develop theories on managerial behavior in complex supply chain environments from the strategic and tactical levels of management. h) Such as trust, commitment, and also other factors that are related to the collaboration can be considered as antecedents of supplier relationship quality. Also, as some details on marketing strategies and consumers behaviors that are omitted can be included in the future researches. i) Highlighting the gap between theory and practice, and hope to motivate researchers to develop new models for mitigating supply chain disruptions. j) For future research, constructing further comprehensive metrics in order to evaluate supply chain network performance. k) Main future work is a detailed study of especially the SC strategy and structure construct. Currently, only the variables SC type, supplier type, geographical dispersion and business structure are included. l) Investigating an integrated supply chain with multi-supplier is a valuable potential area for future researches, because using multi suppliers can reduce the expected total cost. 9. Concluding remarks: This paper presents a comprehensive literature review of the journal papers on supplier-manufacturer relationship in supply chain management. Present literature review is based on the basis of the previous work done by reputed researchers and academicians for studying supplier-manufacturer relationship in supply chain management. Different authors had developed different models and frameworks for studying supplier manufacturer relationship in supply chain management. As stated at the outset of this paper, the literature on supplier manufacturer relationship to date has been weak in terms of establishing probable connections between supplier & manufacturer in operations and firm’s strategy, competitive environment and business performance. Unfortunately, different theories of supplier manufacturer relationship have led to diverse and separated application and so through this review paper we have tried our best to install convergence in such a vast topic so that more generalized research findings should come in the upcoming years by our world renowned supply chain experts, academicians and research scholars. 872
Proceedings of the National Conference on Trends and Advances in Mechanical Engineering, YMCA University of Science & Technology, Faridabad, Haryana, Oct 19-20, 2012 References: [1] Liu, F.H. F. & H. L. Hai. (2005). ` the voting analytic hierarchy process method for selecting supplier’. International Journal of Production Economics Vol.97 No.3. pp. 308-317. [2] Farzad.T, Mohammed.R, et al (2008) À review of supplier selection methods in manufacturing industries’. Journal science and technology Vol.15 No.3 201-208. [3] Ali.N, Hadi .M. etal (2011)` Supplier evaluation and selection in SCM using fuzzy AHP’. 3 rd international conference an advanced manufacturing science Vol.19. [4] Giuseppe et al. (2009) `the analytic hierarchy process in the supplier selection problem’. [5] Sanjay, Neeraj, Abid.H (2009) Ànalytical hierarchy process applied to vendor selection problem. Small scale, medium scale and large scale industries’.Business intelligence journal. [6] Min Wu (2007) `Topsis AHP simulation model and its application to supply chain management’. World journal of modeling and simulation. Vol.3 No.3 pp 196-201. [7] Mahdi.S, Abbas.H (2009) À conceptual framework for supply chain coordination in fuzzy environment’. Journal of theoretical and applied information technology. [8] Amanda.C. et al (2009) ` ANP and rating model applied to supplier selection problem’. The international symposium on the AHP. [9] Onur.Y. et al (2011) ` Supplier selection of a textile company with AHP’. 15 th international research/expert conference. [10] Tanmoy.C, Tamal.G, Parnab.K (2011) Àpplication of analytic hierarchy process and heuristic algorithm in solving vendor selection problem’. Business intelligence journal, PP- 167-177. [11] Parthiban.P, Abdul.Z, Swati.K (2011) À model for supplier selection using analytic network process’. [12] ChaiuChing.C (2011) Ùsing ANP for the selection of green supply chain management strategies’. [13] Gerard.P, et al. (2007) Ìn search of the bullwhip effect’. Manufacturing & service operations management, Vol.9, No-4, Page No-457-479. [14] Buchmeister.B, et al. (2008) `Bullwhip effects problem in supply chains’. Advances in production engineering & management PP.45-55. [15] Mehdi.N, Reza.Z (2011) `Bullwhip effects analysis in a supply chain’. [16] I.Alony, A. Munoz (2007) `the bullwhip effects in complex supply chains’. International symposium on communications technologies, PP.1355-1360. [17] Nucharee (2008) `the effects of supplier relationship and negotiation power on sourcing performance: A case of fashion accessories products’. [18] BadrulNizer, Dr.Suhaiza.Z (2007) `the effects of information quality on buyer-supplier relationship: Aconceptual framework’. 7 th global conference on business & economics. [19] V.C.Pandey, S.K.Garg, Ravi Shankar (2010) Ìmpact of information sharing on competitive strength of Indian manufacturing enterprises’. Business process management journal, Vol-16, No-2, PP- 226-243. [20] Rashed.C.A, Azeem.A, Halim.Z (2010) Èffect on information and knowledge sharing on supply chain performance. A survey based approach’. Journal of operations and supply chain management .Vol.3 No.2, PP- 61-77. [21] Jario.R, Gloria.L (2011) òn the analysis of supplier manufacturer information sharing strategies for production scheduling’. [22] Christopher’s. Tang (2006) `Perspectives in supply chain risk management’. International journal production economics .Vol.103, PP. 451-488. [23] QiangQiang, Anna.N, (2008) `Modeling of supply chain risk disruptions with performance measurement and robustness analysis’. [24] Peter Trkman, Kevin Mccormack (2009) `Supply chain risk in turbulent environments- A conceptual model for managing supply chain network risk’. International journal production economics Vol.119, PP. 247-258. [25] Zhenxin.Y, Hong Yen, T.C.Edwin (2001) ` Benefits of information sharing with supply chain partnerships’. Industrial management & data system Vol.101 No.3, PP.114-119. [26] Arnaldo.C, Andrea.F, Enrico.R (2005) `Risk sharing in supplier relations: An agency model for the Italian air conditioning industry’. [27] Patchree.B, Damien.P (2010 Ìmpact of supply chain uncertainty on business performance and role of supplier and customer relationship: comparison between product and service organization’. [28] S.Mehdi, Behrooz.P (2010) àn integrated supply chain model for the supply uncertainty problem’. International conference on industrial engineering and operations management. 873
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NATIONAL CONFERENCE ON TRENDS AND A
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Akash Equipments & Machineries (P)
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OUTPUT Proceedings of the National
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3.2 Effect of Different Dielectric
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References Proceedings of the Natio
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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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