Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry

Cao, Y.; You, J.; Wang, R.; Shi, Y.

Artykuł - szczegóły

Tytuł artykułu

Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry

Autorzy

Cao Y. , You J. , Wang R. , Shi Y.

Treść / Zawartość

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Warianty tytułu

Projektowanie mieszanego system oceny zielonej produkcji dla przemysłu samochodowego

Języki publikacji

Abstrakty

The article proposed, from a sustainable development perspective, an index system based on Sustainability Balanced Scorecard (SBSC), including the main index of Financial, Internal process, Customer, Learning and growth, Social and the sub- index which comprised 28 indexes to evaluate the Green Manufacturing (GM) of automotive industry. Based on the index system, an evaluation model integrates by back-propagation artificial neural network (BPANN) and genetic algorithm (GA) was introduced. Using established model and indicators evaluated GM in four automotive companies; the key result of the evaluated show that: China’s automotive manufacturing enter-prises still have big room for improvement in respect of customer satisfaction, resource consumption, community service, low-carbon activities etc., so the strategy and management activities that put much pressure on these respect are necessary.

W artykule zaproponowano wykorzystanie systemu wskaźników opartych na Zrównoważonej Karcie Wyników (Sustainability Balanced Scorecard – SBSC). Zgodnie z koncepcją rozwoju zrównoważonego uwzględniono na-stępujące główne wskaźniki: finansowy, procesów wewnętrznych, klienta, wzrostu i uczenia się, społeczny, a także 28 podwskaźników. Celem była ocena Zielonej Produkcji (Green Manufacturing – GM) w przemyśle mo-toryzacyjnym. Wprowadzono model oceny oparty na systemie wskaźników, łączący propagację wsteczną sztucz-nej sieci neuronowej (back-propagation artificial neural network – BPANN) oraz algorytm genetyczny (genetic algorithm – GA). Za pomocą wybranego modelu i wskaźników dokonano oceny Zielonej Produkcji w czterech firmach motoryzacyjnych. Wyniki wskazują, że chińskie przedsiębiorstwa motoryzacyjne mają jeszcze dużo do poprawy w kwestii satysfakcji klienta, zużycia zasobów, pracy społecznej, działań niskoemisyjnych, itp. Ko-nieczne jest zatem obranie strategii oraz gospodarki, które kładą nacisk na wymienione kwestie.

Słowa kluczowe

SBSC GM index system of automotive industry GA BPANN

SBSC zielona produkcja system wskaźników przemysłu motoryzacyjnego GA BPANN

Wydawca

Lublin University of Technology

Czasopismo

Problemy Ekorozwoju

Rocznik

2016

Tom

Vol. 11, nr 1

Strony

73--86

Opis fizyczny

Bibliogr. 58 poz., tab.

Twórcy

autor

Cao Y.

angelcaoniuniu@sina.com

School of Management, Shanghai University, Shanghai, 200444, China

autor

You J.

School of Management, Shanghai University, Shanghai, 200444, China

autor

Wang R.

School of Economics &Management, Tongji University, Shanghai, 200092, China

autor

Shi Y.

Institute for Manufacturing, University of Cambridge, CB3 0FS Cambridge, UK

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-897e0d40-6428-4d66-82f2-1d7d1e63dac8