Holomorphic Prioritization of Sets within Decagram of Strategic Decision Making of POSM Using Operational Research (OR): Analytic Hierarchy Process (AHP) Analysis
Authors: Elias O. Tembe, Hussain A. Al-Salamin
Abstract:
There is decagram of strategic decisions of operations and production/service management (POSM) within operational research (OR) which must collate, namely: design, inventory, quality, location, process and capacity, layout, scheduling, maintain ace, and supply chain. This paper presents an architectural configuration conceptual framework of a decagram of sets decisions in a form of mathematical complete graph and abelian graph. Mathematically, a complete graph is undirected (UDG), and directed (DG) a relationship where every pair of vertices is connected, collated, confluent, and holomorphic. There has not been any study conducted which, however, prioritizes the holomorphic sets which of POMS within OR field of study. The study utilizes OR structured technique known as The Analytic Hierarchy Process (AHP) analysis for organizing, sorting and prioritizing(ranking) the sets within the decagram of POMS according to their attribution (propensity), and provides an analysis how the prioritization has real-world application within the 21st century.
Keywords: AHP analysis, Decagram, Decagon, Holomorphic.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1098132
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2000References:
[1] Chopra, Sunil &Meindle, Peter (2010). Supply Chain Management (4th. Edition).
[2] Heizer, Jay & Render, Barry (2010). Operations Management (10th Edition). Pearson Education, Inc.
[3] http://bizniaga.blogspot.com/2008/07/henzer-10-critical-decision-areafor- om.html Web. 25 Feb. 2014
[4] Bunruamkaew, Khwanruthai (2012). How to do AHP analysis in excel. University of Tsukuba, Graduate School of Life and Environmental Sciences, Division of Spatial Information Science.
[5] Saaty, T.L. (1980). The analytical hierarchy process. MCGraw-Hill, New York.
[6] Saaty, T.L., Vargas, L.G. (1991). Prediction, Projection and forecasting. Kluwer Academic Publishers, Dordrecht, 251 pp.
[7] Hass, R. and Meixner, N. (n.d.). An Illustrated Guide to the Analytic Hierarchy Process. Institute of Marketing and Innovation, University of Natural Resources and Applied Life Sciences, Vienna (Available online) http://www.boku.ac.at/mi/
[8] Kathy Schwalbe, PH.D., PMP (2014). Information Technology Project Management.(7th Edition), Gengage Learning.