Measuring Supply Chain Performance Using Scor Model And Setting Strategic Alternatives The Case Of Ethio Telecom Corporate Commercial Supplies Store.

Each organization for assessing the amount of utility and desirability of their activities, especiallyrnin complex and dynamic environments such as in telecom industry where obsolescence ofrntechnology becoming the headache of operators, determining and ranking the vital performancernindicators to ensure consistent supply is compulsory. The aim of this paper is to measure the SCPrnof ethio telecom commercial supplies and to set an alternative strategy, which identifies andrnprioritizes Key Performance Indicators (KPIs) that a company should focus on them thereby torndefine the strategy found best in alignment of these KPIs to enable achieving organizationalrnobjectives. Next, performance indicators were listed and pair wise comparisons werernaccomplished by company's selected employees through SCP and standard Analytic HierarchyrnProcess (AHP) questionnaires. Mainly a hybrid of AHP and TOPSIS technique applied tornminimize the weakness of individual performance of each and to capitalize the synergy effect ofrnboth in that from AHP to take weight determination feature and from TOPSIS the swift rankingrncapability. Hence, this research focused to illustrate relative importance of supply chainrnperformance measurement metrics and setting of evaluation framework to guide strategists for thernSC strategy selection and development to enhancing profitability of the company and ensurernbusiness continuity with competitive environment. To do this qualitative and quantitative data wasrnobtained from selected respondents which have direct link and involvement in the commercialrnsupply pipeline. Based on the research, Supply Chain Operation Reference (SCOR) performancernmeasurement model with pair-wise comparison of Analytical Hierarchy Priority (AHP)rnmethodology and TOPSIS- Technique For Order Preference By Similarity To Ideal Solution arerndeveloped to enhance the performance measurement of the supply chain management system. Inrnthis paper, an AHP–TOPSIS–SCOR integrated approach for selection of the most suitablernscenarios are introduced and the implementation process be explained with a primary data fromrnthe survey conducted. It involves the calculation of the closeness coefficients by means of PositivernIdeal Solution (PIS), Negative Ideal Solution (NIS) and the separation distance di. Thernfundamental concept of this technique is that the chosen alternatives should have the shortestrndistance di to the positive ideal solution and the farthest distance from the negative ideal solution.rnaccordingly the closeness index Ci+ is therefore the measure of the performance of the alternativesrnwhose value range between ‘0’ and ‘1’ ; the more Ci close to 1, the more alternative performsrnbest and vice versa. Alternatives are then ranked according to the computed closeness coefficients. rnviiirnIn the study, candidates were assessed by three alternatives in accordance with fourteen decisionrncriteria. From the study, the integration of TOPSIS with AHP method found to be extremely suitedrnto evaluation and selection decisions regarding options for SC strategy selection. In thernapplication, the criteria/and sub-criteria, which have the greatest effect on the strategy selection,rnare determined. The weighted sum model (WSM) was also applied to determine the deliveryrnperformance status of the case company with respect to the industry standard and that gives arngood insight how is the case company performing its supply chain.rnKey Words: Supply chain performance measurement, Supply Chain Operation Reference (SCOR),rnAnalytical Hierarchy Process (AHP), SCOR+AHP performance measurement framework,rn (di)

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