Change Management System (CMS) Evaluation: A Case Study in a Multinational Manufacturing Company in Malaysia

Changes can be defined as modification of the form, fit or function of an object such as a process or a product. Changes can be positive or negative but in general, making changes show that a company is progressing and improving. A company can choose to take initiative to change or just wait for external forces depending on its necessity or requirement. In some cases, change is not favourable unless it is really necessary as it involves time and money as well as other resources. Due to this, a good change management is necessary so that changes can be monitored effectively. A dynamic and timely change management is important in order to ensure that the company does not fall behind in being competitive in the industry. This study focuses on the evaluation of the change management system in a manufacturing company. Focus is given to the measurement of the change process which has been agreed to be due to cycle time in which an ideal cycle time for the change process is simulated. Based on Monte Carlo simulation, it is figured that the overall cycle time can be improved by 35%. At the same time, other effectiveness measure is also identified to improve the management system of the company.

Environmental Ergonomics and Postural Job Analysis on Handcrafting Process of a Small-Scale Jewelry Enterprise

The Philippine Jewelry Industry has a great potential on contributing to the economic development. Large deposit of gold, abundant reserve of precious stones and cheap skilled labor of Filipino artisans are some of the country’s resources which are essential elements for jewelry making. A dying breed of artistry for the craft poses a high threat to the number of Filipino jewelry makers. Hence, a task analysis intends to help the industry by identifying ergonomic risk factors in the working environment of a typical small-scale jewelry enterprise. It focuses on the traditional ways of jewelry making mainly by handheld tools. Various physical and environmental methods are consolidated to detect risk factors which may potentially lead to occupational disorders. Data analysis plan consists of comparative assessment of actual measurements and acceptable levels for environmental variables. Also, descriptive statistics is used to interpret the results of environmental ergonomics and postural job analysis. The result shows high proportion of non-conformance in illumination and thermal condition of the workplace. The sitting postures of the workers are deviated from neutral working positions. Also, bodydiscomforts are commonly experienced in neck, shoulder, upper back and arm regions. Moreover, recommendations are established to introduce an ergonomically designed workplace.

Towards Managerial Support for Data Analytics Results

Studies of analytics integration management have largely focused on executive-led analytics at the enterprise level. However, in most organizations analytics initiatives do not enjoy executive support at the outset. Top management must first be convinced of the benefits, which slows down the path to competing via analytics. To successfully win top management support for broader analytics implementation an analytics pioneer should achieve five key aims: patiently build trust, manage interdisciplinary collaboration, focus on the problem solving action, facilitate the process, and importantly provide strong support to the embryonic analytics initiative. This is demonstrated through multiple-case study, presented in this paper. In embryonic analytics initiatives, the analytics champion appears locally, at mid-management level, and is up against the complex task of overcoming the resistance of an established organization, with its existing people, processes, data, technology, and culture. We examined what could be learned about the management of people-related issues in embryonic analytics processes. We studied the approaches used and lessons learned by all significant groups of stakeholders with the aim of helping managers show the value of analytics to their executives and colleagues.