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Sustainable development goals (SDGs) are set from the perspective of the country and industry. There is a gap between the SDGs and the corporate social responsibility (CSR) that has been implemented by industries for years. Activities from the manufacturing industry that meet the SDGs are still missing. This study surveys both academic researchers and senior managers in the manufacturing industry in India. It applies analytical hierarchy process analysis and proposes (1) a sustainable manufacturing system (SMS) that is composed of seven constructs with 55 activities that support SDG 2-12 and 41 sustainable targets, (2) ten activities as the initial stage of the SMS that support SDG 2, 3, 4, 6, 8, 9, and 12, and (3) that SMS needs to be implemented to a company's external environment first, and then within the company, in the sequence of Local community, Enterprise welfare, Enterprise process, Enterprise performance, Enterprise policy, Enterprise human resource, and Enterprise product. By implementing SMS, the gap between the SDGs and CSR can be diminished. [ABSTRACT FROM AUTHOR]

The sustainability of manufacturing systems plays a major role in the insurance of the competitive power of enterprises. To describe a manufacturing system as sustainable, the LEAN approach must be complemented by environmental considerations. In the present paper, the authors describe a Sustainable Manufacturing Systems (SMS) in terms of costs, energy consumption and carbon dioxide emissions. The mathematical optimization model describes the objective minimization functions, the decision making variables and the conditions on the three components. The proposed theoretical model is implemented by means of the standard function block of specialized simulation and optimization environment. [ABSTRACT FROM AUTHOR]

Sustainable efficient energy is the key factor of any sustainable manufacturing system. This study addresses a multi-item sustainable economic energy efficient reliable manufacturing quantity (MSEEERMQ) model. The manufacturing system produces defective products during long-runs, where those products may be reworked under the optimum effect of energy and carbon footprint with some costs. As all products are not sold immediately, the holding cost increases based on time. The management decides the system design variable to reduce energy consumption cost and increase system reliability under some time-dependent holding costs, and the optimum energy such that the maximum profit of the production model is obtained with a system reliability as a decision variable. The inflation and time-value of money are considered to calculate the cost of the production model under efficient energy. Using control theory, an Euler–Lagrange method is employed to obtain the sustainable critical path, which gives the optimal solution of the model. There are two lemmas to prove the global optimal solution of the model through the control theory. There is an illustrative example to test the model. Under different conditions there are other two examples with graphical representation and sensitivity analysis. Numerical studies reveal that maximum profit is obtained at the optimal value of the decision variable. [ABSTRACT FROM AUTHOR]