World class manufacturing: the lessons of simplicity applied

Csillag, João Mário

doi:10.1590/s0034-75901988000100009

Cited by 4 publications

(3 citation statements)

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“…Similarly, past studies conducted on this field have presented conceptual and contextual research gaps, for instance a study by Sharma et al, (2006) in India on issues related with TPM implementation in Indian manufacturing firm revealed that implementation of TPM in Indian manufacturing systems leads to efficient and effective production. In Brazil, Bartz et al (2014) a study examined the implementation of a maintenance management model based on TPM in a production line of a metallurgical company.…”

Section: Statement Of the Problemmentioning

confidence: 99%

Effect of Total Productive Maintenance on Manufacturing Performance of Food and Non-Alcoholic Beverage Firms in Nairobi County, Kenya

OJANGA,

MUTESHI (Ph.D),

OKELLO

2019

strategicjournals.com

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Total Productive Maintenance is a maintenance strategy that aims to overcome the production losses caused by equipment inefficiency. TPM improves production output by increasing not just the sheer quantity produced but reduces the production cost and delivery date. In the food industry, the production process requires the non-stop operation of automatic production line equipment. For sustainability in the market, the factors like product quality, availability and costs are critical. The sector employs about 14% of the total employees in Kenya and had contributed about 10% to the GDP over the past 3 decades. Therefore, this study aimed to establish the effect of total productive maintenance on manufacturing performance of food and non-alcoholic beverage firms in Nairobi County. Specifically, the study sought to establish the effect of equipment optimization and strategic employee empowerment on manufacturing performance of food and non-alcoholic beverage firms in Nairobi County. The study used descriptive research design. The study targeted population and included all the 43 Food and Non-Alcoholic Beverage manufacturing firms in Nairobi County registered members of KAM 2018. The target population for this study was the entire population of 43 Food and Beverage manufacturing firms which were registered members of Kenya Association of Manufacturers (KAM) 2018. The unit of observation comprised operations manager and maintenance managers. Hence, the target population of this study was a total 86 individuals. The study used primary data that was collected using a structured questionnaire. The data was analysed through descriptive statistics and inferential statistics. Mean, frequencies and percentages were used to present the descriptive statistics while correlation and regression analysis comprised the inferential analysis. The study findings were presented through tables. The study findings revealed that both equipment optimization and strategic employee empowerment have a positive and significant effect on manufacturing performance of food and nonalcoholic beverage firms in Nairobi County.

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Section: Statement Of the Problemmentioning

confidence: 99%

Effect of Total Productive Maintenance on Manufacturing Performance of Food and Non-Alcoholic Beverage Firms in Nairobi County, Kenya

OJANGA,

MUTESHI (Ph.D),

OKELLO

2019

strategicjournals.com

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“…Lean has been described in many ways by different authors. Schonberger (1986) and Dahlgaard and Dahlgaard-Park (2006) describe lean and lean thinking as avoiding waste and thus designing low-cost developments. Burgess and Radnor (2013) focuses on the elimination of practices that do not add value.…”

Section: Introductionmentioning

confidence: 99%

Influence of Codesign as a Cocreation Strategy on Constructability (Among Sri Lankan Architectural and Engineering Design Start-Up Practices)

Kiralawelle Muhandiramge

2023

Sri Lanka J. Marketing

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This research looks at the influence that codesign has on the constructability of a project and how the client’s knowledge impacts this relationship. Client knowledge is explored as a mediator. Further The factor that gave the largest contribution to codesign was the form of facilitation with a mean of 1.59, which was closest to the strongly agree point on the scale (number 1 was assigned to Strongly agree). The overall mean value of codesign was 1.82. Knowledge management gave the largest contribution towards constructability with a mean of 1.61. The overall mean of constructability was 1.70. The mediator, client knowledge had an overall mean of 2.10 with experience having the largest contribution with a mean of 2.08. Four hypotheses were tested. Hypothesis 1 was accepted since the correlation was 0.633, and its significance was 0.000, with the regression model fitting by 40.1%, showing that there was an impact on constructability from codesign. Hypothesis 2 was to test whether codesign and client knowledge were related, and it was proven, since correlation is reported to be 0.432 and its significance is 0.000, with the regression model fitting by 18.6%. Hypothesis 3 tested the relationship between client knowledge and constructability. It was also accepted in the correlation is reported to be 0.453 and its significance is 0.000 with the regression model fitting by 20.6%. Further, all factors in the three variables were validated through cross validation via thematic analysis, except for access to information. This could be because the client may not be able to interpret the information on their own. Hypothesis 4 investigated the mediator and an z value of 2.26 with significance of 0.000 indicates that client knowledge significantly mediates the relationship between codesign and constructability.

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“…The most important objective of OEE is not to get an optimum measure, but to get a simple measure that tells the production personnel where to spend their improvement resources . According to Schonberger (1986), in conventional manufacturing, down time is a serious problem only for bottleneck equipment. One effect of buffer stock removal, a Just in Time technique, is to turn all work centers into bottlenecks so they receive problem-solving attention.…”

Section: Literature Reviewmentioning

confidence: 99%

Organizational practices lean enterprises adopt to focus on value streams

Gregorio García

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The purpose of this thesis is to investigate which practices lean enterprises adopt to focus on value streams. An exploratory case study of four plants is developed. The four plants have successfully performed a lean transformation with significant performance improvements, and belong respectively to Delphi Diesel Systems, Sogefi Filtration, a company within the furniture industry and Renault. The organizational practices associated with value stream focus identified are: (1) the establishment of organizational units based on value streams; (2) the use of a performance measurement system based on value streams, and (3) the adoption of a formal meeting system. These organizational practices were found in all four of the studied companies. The adoption of these practices was standard and consistent across the different organizational units within the studied plants. However, the application of the concepts strongly depended on the specific circumstances of the plants such as size, complexity and lean transformation maturity. This exploratory research provides a contribution in the fields of organizational practices involved in the transition to lean enterprise. Managerial implications consist of the possible application of the described practices to other cases and situations.

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World class manufacturing: the lessons of simplicity applied

Cited by 4 publications

References 0 publications

Effect of Total Productive Maintenance on Manufacturing Performance of Food and Non-Alcoholic Beverage Firms in Nairobi County, Kenya

Effect of Total Productive Maintenance on Manufacturing Performance of Food and Non-Alcoholic Beverage Firms in Nairobi County, Kenya

Influence of Codesign as a Cocreation Strategy on Constructability (Among Sri Lankan Architectural and Engineering Design Start-Up Practices)

Organizational practices lean enterprises adopt to focus on value streams

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