Results 121 to 130 of about 9,841 (196)

MINIMIZING TOTAL TARDINESS IN PERMUTATION FLOWSHOPS

, 1995
We consider the permutation flowshop scheduling problem with the objective of minimizing total tardiness. Presented are several properties that are used to calculate lower bounds on total tardiness of jobs for a given partial sequence and to identify ...
Kim, Yeong-Dae
core   +1 more source

Order acceptance and scheduling in a single-machine environment: exact and heuristic algorithms. [PDF]

In this paper, we develop exact and heuristic algorithms for the order acceptance and scheduling problem in a single-machine environment. We consider the case where a pool consisting of firm planned orders as well as potential orders is available from ...
Herbots, Jada, Leus, Roel, Talla Nobibon, Fabrice   +2 more
core  

LEGAL CONSEQUENCES OF THE WORKPLACE TARDINESS

, 2016
İş Kanunu'nun 18. maddesi, işverene işçinin davranışlarından kaynaklanan nedenlerle geçerli fesih hakkı tanımaktadır. Madde gerekçesinde işçinin sık sık işe geç gelmesi, işçinin davranışlarından kaynaklanan nedenlere örnek olarak gösterilmektedir ...

core  

Service-oriented cloud manufacturing systems: Balancing profit, customer satisfaction, and resource fairness. [PDF]

PLoS One
Moslemipour A, Salmasnia A, Mokhtari H.
europepmc   +1 more source

Mutual benefit of cloud manufacturing system and customers through integration of scheduling, order acceptance and fairness under a maintenance strategy. [PDF]

Sci Rep
Salmasnia A, Abbaszadeh M, Kiapasha Z.
europepmc   +1 more source

Single-Machine Scheduling with Multi-Criteria and Due- Windows. [PDF]

F1000Res
Mohsin DA, Mohammed HAA.
europepmc   +1 more source

Knowledge-driven teaching-learning-based optimization algorithm for bi-objective flexible job-shop scheduling problem with tool allocation. [PDF]

PLoS One
Chen K, Yuan X, Tan W.
europepmc   +1 more source

Bio-Inspired Intelligent Systems: Negotiations between Minimum Manifest Task Entropy and Maximum Latent System Entropy in Changing Environments. [PDF]

Entropy (Basel), 2023
Fox S, Heikkilä T, Halbach E, Soutukorva S.   +3 more
europepmc   +1 more source

Information Bottleneck-Enhanced Reinforcement Learning for Solving Operation Research Problems. [PDF]

Sensors (Basel)
Xi R, Ni Y, Wu W.
europepmc   +1 more source

Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand. [PDF]

Sci Rep
Wu X.
europepmc   +1 more source