Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case

Tarancón, Miguel Ángel; Rı́o, Pablo del; Callejas, Fernando

doi:10.1016/j.energy.2010.04.040

Cited by 21 publications

(2 citation statements)

References 17 publications

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“…In all cases convergence is fast, and most of the same data elements reappear, although the exact data elements in each top-20 set are not always the same, as shown in SI S7. In future studies this path dependence might be avoidable if a linear approximation is performed. − …”

Section: Resultsmentioning

confidence: 99%

Uncertainty of Consumption-Based Carbon Accounts

Rodrigues

Moran

Wood

et al. 2018

Environ. Sci. Technol.

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Consumption-based carbon accounts (CBCAs) track how final demand in a region causes carbon emissions elsewhere due to supply chains in the global economic network, taking into account international trade. Despite the importance of CBCAs as an approach for understanding and quantifying responsibilities in climate mitigation efforts, very little is known of their uncertainties. Here we use five global multiregional input-output (MRIO) databases to empirically calibrate a stochastic multivariate model of the global economy and its GHG emissions in order to identify the main drivers of uncertainty in global CBCAs. We find that the uncertainty of country CBCAs varies between 2 and 16% and that the uncertainty of emissions does not decrease significantly with their size. We find that the bias of ignoring correlations in the data (that is, independent sampling) is significant, with uncertainties being systematically underestimated. We find that both CBCAs and source MRIO tables exhibit strong correlations between the sector-level data of different countries. Finally, we find that the largest contributors to global CBCA uncertainty are the electricity sector data globally and Chinese national data in particular. We anticipate that this work will provide practitioners an approach to understand CBCA uncertainties and researchers compiling MRIOs a guide to prioritize uncertainty reduction efforts.

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Section: Resultsmentioning

confidence: 99%

Uncertainty of Consumption-Based Carbon Accounts

Rodrigues

Moran

Wood

et al. 2018

Environ. Sci. Technol.

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“…Improvements in key features such as the responsibility, awareness, knowledge, cooperation, and communication among employees were noted after the implementation of the POLCA approach in the industry. The responsibility of employees on seeing agility was felt within them, while the technological responsibility (Tarancón, del Rio, & Callejas, ) of the employees was poor previously. The system had now changed them to be more responsive as reflected in their efforts to achieve goals and being in the process of achieving success for the organization.…”

Section: Resultsmentioning

confidence: 99%

Effective human utilization in an original equipment manufacturing (OEM) industry by the implementation of agile manufacturing: A POLCA approach

Dev

Kumar

Rajesh

2016

Hum Ftrs & Erg Mfg Svc

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Agile manufacturing (AM) has been recognized as an international strategy for improving industrial competitiveness. Agility refers to the ability of an organization to adapt to changes within its environment and to utilize them for earning profit and constituting a major item of expense for any organization, having a palpable effect on its profitability. Manpower utilization is considered as one of the important attributes affecting the organization's ability to be agile. In other words, an effective manpower utilization in any agile environment can reduce the workload and enhance the profitability of any organization. The efficiency of any agile organization lies in improved production, through the utilization of a smaller workforce without impacting on its work‐life balance. Thus, this research is focused on ensuring minimum manpower utilization on the machine shop floor of an Original Equipment Manufacturing (OEM) industry by implementing the Paired‐cell Overlapping Loops of Card with Authorization (POLCA) approach. Effective manpower utilization is an important aspect requiring focus in all areas relating to manufacture. However, POLCA, despite being a powerful and multiapplicative tool for AM, has still not been used by researchers for effective manpower utilization. This article takes initiative in this area.

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