Practical Minimum Energy Requirements for Chemical Product Manufacturing: A Management Decision Tool for Achieving Sustainable Products

2001 ◽  
Vol 11 (2) ◽  
pp. 75-89 ◽  
Author(s):  
Jeanette M. Schwarz ◽  
Beth R. Beloff ◽  
Earl R. Beaver ◽  
Dicksen Tanzil
2019 ◽  
Vol 10 (2) ◽  
pp. 566-600 ◽  
Author(s):  
Peter Muganyi ◽  
Ignatio Madanhire ◽  
Charles Mbohwa

Purpose The research paper aims to unveil the practical use of Lean Six Sigma and its effectiveness as a business survival strategic tool by a chemical product realization concern, as well as to establish the market and business performance impacts on the manufacturing entity. Design/methodology/approach A case study approach was pursued with a multi-national chemical manufacturing entity in South Africa. A comprehensive literature research was undertaken to establish the contemporary tools used for implementing Lean Six Sigma, and the classification and flow of tools and steps undertaken to ensure the successful and effective application of Lean Six Sigma in a manufacturing organization and the benefits derived. The critical success factors and reasons of ineffective use of tools are reviewed. To ensure that a comprehensive research was conducted which is relevant to the body of knowledge in engineering, recent articles on the application of Lean Six Sigma were selected and reviewed during the progress of the study to add impetus to the relevance of the findings. Findings The research findings were mainly based on the inferences obtained from a chemical product manufacturing concern in South Africa, to distinguish the efficacy and relevance of Lean Six Sigma as strategic business survival tool and imputing strategic resonance to corporate strategy. Research limitations/implications This research was limited to distinguishing Lean Six Sigma as a business survival strategic tool and an ultimate enhancer of market performance for a chemical product manufacturing entity. The implementation and evaluation of the Lean Six Sigma methodology as a business survival strategic and market performance enhancement option for the case study organization was entailed as the corollary of deductive resemblance to similar entities. Practical implications This study enables continuous improvement practitioners to evaluate the Lean and Six Sigma practices. The advantages posed by the simultaneous and optimized application of the two approaches versus individual application were assessed and verified to produce enhanced continuous improvement. This poses further challenges to scholars and academics to pursue further researches on the practicality of applying Lean Six Sigma as a strategic option. Originality/value The paper prompts the efficacy of well publicized methodologies and evaluates their implementation for strategic performance for manufacturing organizations. The practical application, constraints and resultant effects of deploying Lean Six Sigma were reviewed to give impetus to the methodology.


Knowledge ◽  
1988 ◽  
Vol 10 (2) ◽  
pp. 111-139 ◽  
Author(s):  
BARRY BOZEMAN ◽  
R. F. SHANGRAW

2000 ◽  
Author(s):  
Juergen Mueller ◽  
Stephen Vargo ◽  
Amanda Green ◽  
David Bame ◽  
Robert Orens ◽  
...  

2007 ◽  
Vol 97 (6) ◽  
pp. 1169-1176 ◽  
Author(s):  
Kirsten L. Rennie ◽  
Andy Coward ◽  
Susan A. Jebb

Under-reporting (UR) of energy intake (EI) by self-reported dietary methods is well-documented but the methods used to estimate UR in population-based studies commonly assume a sedentary lifestyle. We compared estimated UR using individualised estimates of energy requirements with a population cut-off based on minimum energy needs. UR was estimated for 1551 adults aged 19–64 years enrolled in the National Diet and Nutrition Survey. Physical activity diaries and 7 d weighed dietary records were completed concurrently. Mean daily EI (kJ/d) was calculated from the dietary records. Reported physical activity was used to assign each subject's activity level, and then to calculate estimated energy requirements (EER) from published equations. UR was calculated both as EER – EI with an adjustment for daily EER and EI variation, and also by a population method. By the individual method UR was approximately 27 % of energy needs in men and 29 % in women, with 75 % of men and 77 % of women classified as under-reporters; by the population method 80 and 88 % were classified as under-reporters respectively. When subjects who reported their eating being affected by dieting or illness during dietary recording were excluded, UR was 25 % of energy needs in both sexes. UR was higher in overweight and obese men and women compared with their lean counterparts (P < 0·001). UR of EI must be considered in dietary surveys. The EER method allows UR to be quantified and takes into account an individual's activity level. Measures of physical activity and questions to identify under-eating during dietary recording may help to evaluate secular trends in UR.


2019 ◽  
Author(s):  
Hadrien Delattre ◽  
Jing Chen ◽  
Matthew Wade ◽  
Orkun S Soyer

ABSTRACTMicrobial communities are complex dynamical systems harbouring many species interacting together to implement higher-level functions. Among these higher-level functions, conversion of organic matter into simpler building blocks by microbial communities underpins biogeochemical cycles and animal and plant nutrition, and is exploited in biotechnology. A prerequisite to predicting the dynamics and stability of community-mediated metabolic conversions, is the development and calibration of appropriate mathematical models. Here, we present a generic, extendable thermodynamic model for community dynamics accounting explicitly for metabolic activities of composing microbes, system pH, and chemical exchanges. We calibrate a key parameter of this thermodynamic model, the minimum energy requirement associated with growth-supporting metabolic pathways, using experimental population dynamics data from synthetic communities composed of a sulfate reducer and two methanogens. Our findings show that accounting for thermodynamics is necessary in capturing experimental population dynamics of these synthetic communities that feature relevant species utilising low-energy growth pathways. Furthermore, they provide the first estimates for minimum energy requirements of methanogenesis and elaborates on previous estimates of lactate fermentation by sulfate reducers. The open-source nature of the developed model and demonstration of its use for estimating a key thermodynamic parameter should facilitate further thermodynamic modelling of microbial communities.


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