Scheduling has become an attractive area for artificial intelligence researchers. On other hand, in today's real-world manufacturing systems, the importance of an efficient maintenance schedule program cannot be ignored because it plays an important role in the success of manufacturing facilities. A maintenance program may be considered as the heath care of manufacturing machines and equipments...

    Dynamic cellular manufacturing systems,   Mixed-integer non-linear programming,   Production planning, Manufacturing attributes   This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensi...

lean manufacturing is a systematic approach to identifying and eliminating wastes (non-value added activities) through continuous improvement by conveying the product at the pull of the customer in pursuit of production. in a more basic term, more value with less work. since lean manufacturing eliminates many of the problems associated with poor production scheduling and line balancing, lean ma...

during the past two decades business and manufacturing have observed significant and radical changes. companies have used automation in the manufacturing, in order to improve quality and competency. it was expected that along with these changes, management accounting systems, which focus on monitoring and analyzing management decisions, should adapt with and encourage the changes. many authors ...

resources’ scarcity, especially in developing countries, has caused allocation essentially among competing activities to create value. the importance of resource allocation would be more understood if we pay attention to growing complexity in societies and economic development problems they face. in the context of the national economic development literature, the notion of “key or critical sect...

This study investigates the responsiveness of manufacturing sector performance to major macroeconomic determinants in Nigeria, covering the period between 1981 and 2018. It contributes to attendant literature by examining the asymmetric impact of each of the macroeconomic variables, including GDP per capita, exchange rate, inflation rate, interest rate proxied by prime lending rate, and gross f...