We solve a distributed permutation flowshop scheduling problem (DPFSP) with non-
identical factories, which is also referred to as the distributed heterogeneous permutation …

Mixed-model assembly and lot streaming are two key technologies to improve efficiency and
reduce setups in a multi-variety and small-batch discrete manufacturing environment. Yet …

The joint optimization of production scheduling and maintenance planning has a significant
influence on production continuity and machine reliability. However, limited research …

The technological advances recently brought to the manufacturing arena (collectively known
as Industry 4.0) offer huge possibilities to improve decision-making processes in the shop …

A supply chain's ability to avoid an unexpected disruption or quickly return to a normal
situation defines supply chain resilience. Prior works have emphasized the integration of …

This paper examines the optimal scheduling of order picking and delivery. We present a
mixed-integer model for managing integrated scheduling of zone picking and vehicle routing …

Effective job scheduling is crucial in production to reduce costs, improve customer
satisfaction, enhance efficiency, and boost competitiveness, leading to transformative …

This article proposes a novel and efficient dual-space co-evolutionary memetic algorithm
(DCMA) to tackle a practical hybrid differentiation flowshop scheduling problem with limited …

Assembly scheduling problems have broad applications in discrete manufacturing
enterprises and hence gained extensive attention in academics. However, some important …

A two-stage assembly scheduling problem with nested operations (nASP) is proposed to
minimise the bi-criteria of makespan and the specified average passage time (P ave) in the …