Amba 640 Individual Assignment 2 Revise

Topics: Supply chain management, Management, Decision making Pages: 8 (1755 words) Published: November 10, 2014

Operations Management

Individual Assignment 2

LaShaunda Person

his paper was prepared for AMBA 640, Section 1142, taught by Professor Mittal

Executive Summary
The purpose of this paper is to analyze various techniques and applying knowledge gained to improve Acme Mexico City’s operations. The three operations management techniques to be analyzed are: Data-driven decision making, linear programming, and sustainable supply chain management.

This report finds that data-driven decision making involves the collection, combining and crunching of data received from multiple sources throughout the organization. The technique can contribute to the improvement of Acme’s decision making process as a whole. Acme gathers data from their customers, suppliers, partners, and competitors. Retailers such as Acme use the collection of data from the aforementioned sources to make changes to its day-to-day operations management processes.

This report further finds that organizations that are committed to the sustainable supply chain management seek to align its day-to-day operations and leadership initiatives strategies with its main beliefs. Nevertheless, supply chain involves nonstop changing markets and relationships. There are many reasons why organizations began on the path of supply chain sustainability. The main reasons are to ensure that adherence to laws and regulations in support of international principles for ongoing day-to-day operations.

I recommend the integration and usage of data-driven decision making and sustainable supply chain management in Acme’s daily operations. Acme can show a higher performance by making use of detailed survey data about the business day-to-day functions, the ability to collect, integrate, and analyze data from all Acme locations allows the organization to conduct real-world experiments (Brown Chui, Manyika, 2011). Introduction

The purpose of this paper is to analyze various techniques and applying knowledge gained to improve Acme Mexico City’s operations. The three operations management techniques to be analyzed are: Data-driven decision making, linear programming, and sustainable supply chain management.

This report finds that data-driven decision making involves the collection, combining and crunching of data received from multiple sources throughout the organization. The technique can contribute to the improvement of Acme’s decision making process as a whole. Acme gathers data from their customers, suppliers, partners, and competitors.

This report further finds that organizations that are committed to the sustainable supply chain management seek to align its day-to-day operations and leadership initiatives strategies with its main beliefs. Nevertheless, supply chain involves nonstop changing markets and relationships. There are many reasons why organizations began on the path of supply chain sustainability. The main reasons are to ensure that adherence to laws and regulations in support of international principles for ongoing day-to-day operations. Data-Driven Decision-Making

Describe the purpose of each technique chosen?
The purpose of data-driven decision making involves the collection, combining and crunching of data received from multiple sources throughout the organization. The technique can contribute to the improvement of the decision making process as a whole. How does or should this help operations?

Acme gathers data from their customers, suppliers, partners, and competitors. Retailers such as Acme use the collection of data from the aforementioned sources to make changes to its day-to-day operations management processes. For example, ACME utilizes Radio Frequency Identification (RFID) tags to communicate information about its inventory to ACME buyers and suppliers. The solicited data allows everyone in the management chain to create new business ideas based on scientifically valid data. Getting...


References: Brown, B., Chiu, M., Manyika, J. (2011), Are you ready for the era of big data? Retrieved from http://www.t-systems.com/solutions/download-mckinsey-quarterly- /1148544_1/blobBinary/Study-McKinsey-Big-data.pdf
Sustainable Supply Chain Foundation (2013). Retrieved from http://www.sustainable-scf.org/
United nations global impact. (2010). Supply Chain Sustainability: A practical guide for continuous improvement. Retrieved from http://www.bsr.org/reports/BSR_UNGC
_SupplyChainReport.pdf
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