@article{oai:kitami-it.repo.nii.ac.jp:00006667,
 author = {Yoshitaka, FUJIWARA and Toshiharu, MATSUNISHI},
 issue = {2},
 journal = {北見工業大学研究報告},
 month = {Mar},
 note = {application/pdf, In around-the-clock services such as hospital patient care, workers must be assigned fairly to different job types (called shifts), which require various number of workers for a given period of time. This paper proposes a design for an expert system to do this scheduling, under the condition of assignment-inhibiting irregular events such as sick leaves. In this design, the hierarchical problem-solving approach of a human expert is incorporated as a heuristic to reduce the number of searches required to find an optimum solution. That is, a rough solution is derived under the dominant constraints using an algorithmic assignment method called ARA followed by leveling of the resulting unbalanced work load by a trial-and-error replacement method of workers called MMR.},
 pages = {245--253},
 title = {An Expert System Design for Alternating Job Shift Scheduling*},
 volume = {22},
 year = {1991}
}