Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

Mixed-integer linear programming (MILP) has become a cornerstone of operations research.
This is driven by the enhanced efficiency of modern solvers, which can today find globally …

Constraint Programming (CP) offers a rich modeling language of constraints embedding
efficient algorithms to handle complex and heterogeneous combinatorial problems. To solve …

Sustainable engineering is very important for logistics systems. Nowadays, sustainable
warehouse management is a key factor in market success. Workforce fluctuation and …

Persistent calls come from within the graduate medical education community and from
external sources for regulating the resident duty hours in order to meet the obligations about …

Publisher Summary This chapter reviews that number of operations research (OR) methods
have found their way into constraint programming (CP). This development is entirely natural …

Retailers must frequently deal with alterations in planned customer service levels due to
unexpected demand variations or unscheduled employee absences. Although personnel …

We propose exact hybrid methods based on integer linear programming (ILP) and constraint
programming (CP) for an integrated employee timetabling and job-shop scheduling …

This paper deals with a real manufacturing scheduling problem that is particularly
encountered in the tannery industries. This problem often integrates employee timetabling …

This paper approaches the problem of modeling optimization problems containing
substructures involving constraints on sequences of decision variables. Such constraints …