Planning human activities within business processes often happens based on the same methods and algorithms as are used in the area of manufacturing systems. However, human resources are more complex than machines. Their performance depends on a number of factors, including stress, personal preferences, etc. In this paper we describe an approach for planning activities of people that takes into account business rules and optimises the schedule with respect to one or more KPIs. Taking a task list, a set of rules or constraints and a KPI calculation model as input, we automatically create an executable model that captures all the possible scheduling scenarios. The state space of this executable model is explored to find an optimal schedule
Flexible manufacturing systems in high-mix low-volume segments offer many challenges in terms of pla...
This paper gives a review of capacity planning techniques from which today's standard software packa...
Manufacturing companies face challenges when it comes to quickly adapting their production control t...
Planning human activities within business processes often happens based on the same methods and algo...
Planning human activities within business processes often happens based on the same methods and algo...
Planning human activities within business processes often happens based on the same methods and algo...
In order to be able to flexibly adjust a company's business processes (BPs) there is an increasing i...
Resources tend to follow certain availability patterns, due to the maintenance cycles, work shifts, ...
During the last decades, many approaches and tools were developed that enable a flexible enactment o...
Production planning is an integral part of all factory companies. Achieving effective planning in pi...
In order for business process models to accurately capture the flexibility of human actors, we have ...
Due to the dynamic fluctuation of global market and customer demands, manufacturing firms are facing...
Part 3: Knowledge Based Production ManagementInternational audienceProcess planning plays an importa...
Service companies employ expensive personnel to provide services for their customers. Each service m...
ABSTRACT: The process industry has experienced growing logistical demands, growing variety in produc...
Flexible manufacturing systems in high-mix low-volume segments offer many challenges in terms of pla...
This paper gives a review of capacity planning techniques from which today's standard software packa...
Manufacturing companies face challenges when it comes to quickly adapting their production control t...
Planning human activities within business processes often happens based on the same methods and algo...
Planning human activities within business processes often happens based on the same methods and algo...
Planning human activities within business processes often happens based on the same methods and algo...
In order to be able to flexibly adjust a company's business processes (BPs) there is an increasing i...
Resources tend to follow certain availability patterns, due to the maintenance cycles, work shifts, ...
During the last decades, many approaches and tools were developed that enable a flexible enactment o...
Production planning is an integral part of all factory companies. Achieving effective planning in pi...
In order for business process models to accurately capture the flexibility of human actors, we have ...
Due to the dynamic fluctuation of global market and customer demands, manufacturing firms are facing...
Part 3: Knowledge Based Production ManagementInternational audienceProcess planning plays an importa...
Service companies employ expensive personnel to provide services for their customers. Each service m...
ABSTRACT: The process industry has experienced growing logistical demands, growing variety in produc...
Flexible manufacturing systems in high-mix low-volume segments offer many challenges in terms of pla...
This paper gives a review of capacity planning techniques from which today's standard software packa...
Manufacturing companies face challenges when it comes to quickly adapting their production control t...