Homework: Foundations of Global Supply Chain Management Taxonomy
To prepare for this Homework, review the Learning Resources as well as any additional sources of your choosing. Conduct research to identify theorists who developed theories related to global supply chain management and compile key information as part of your review (see below). One example, is the Eli's Goldratt's theory of constraints. Other examples might include the transaction cost economics (TCE) and resource-based view (RBV) theories. The intent of this Homework is to familiarize you with theories that you will find helpful as you complete your presentation and your Week 7 Homework.
Submit an evaluation of at least three foundational theories in the form of a properly formatted, APA-compliant taxonomy table. For each of the theories you select, you should include the following:
The name of the theory
The year the theory was introduced
The theorist/author
Key components of the theory
For each theory presented, be sure to include at least one theorist's seminal reference and one reference from a peer-reviewed, scholarly journal. Be sure you use these as appropriate in-text citations as well.
Refer to the Week 1 Homework Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work.
Foundations in Global Supply Chain Management
In the past, many organizations considered supply chain management to be a procurement function through which they could realize cost savings. Today, optimal supply chain management not only provides cost savings but also organizational competitive advantage. Many executives now realize the value of elevating supply chain management to strategic levels in their organizations. In fact, Jacobs and Chase (2014) suggested company leaders move their headquarters to a country that is conducive to innovation and an environment that will help stimulate their competitive advantage.
You will you will describe and redesign a supply chain with which you are familiar. You will create a taxonomy of theories that are relevant to global supply chains that you might find helpful as you complete your Week 7 Homework.
Evaluate foundational theories and theorists to support global supply chain management research
Format your homework according to the following formatting requirements:
(1) The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
(2) The response also includes a cover page containing the title of the homework, the student's name, the course title, and the date. The cover page is not included in the required page length.
(3) Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.
Learning Resources
Note: To access the required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus.
Required Readings
Khan, S. A., & Sawicka, H. (2016). Redesigning supply chain network of a lubricant company: An innovative approach. LogForum, 12(2), 165-180. doi:10.17270/J.LOG.2016.2.6
Madhani, P. M. (2016). Application of Six Sigma in supply chain management: Evaluation and measurement approach. IUP Journal of Supply Chain Management, 13(3), 34-53.
Marchesini, M. M. P., & Alcântara, R. L. C. (2016). Logistics activities in supply chain business process: A conceptual framework to guide their implementation. International Journal of Logistics Management, 27(1), 6-30. doi:10.1108/IJLM-04-2014-0068
Szozda, N. (2016). The significance of product lifecycle concept in organizing supply chains. Proceedings for the Northeast Region Decision Sciences Institute (NEDSI), 1-13.
Aydinliyim, T., & Murthy, N. N. (2016). Managing engineering design for competitive sourcing in closed-loop supply chains. Decision Sciences, 47(2), 257-297. doi:10.1111/deci.12164
Liu, Y., Ju, W., Zhao, J., Gao, J., Zheng, J., & Jiang, A. (2016). Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting. Journal of Intelligent & Fuzzy Systems, 31(2), 825-836. doi:10.3233/JIFS-169014