The Supervision of Child Protection Work

Correspondence to Alan Rushton, Course Director, M.Sc. in Mental Health Social Work, Social Work Department, The Maudsley Hospital, 101 Denmark Hill, London, SE5 8AZ, UK Summary It has frequently been recommended that statutory child protectionservices in Great Britain need greater provision of specialistsupervision to support front line social workers. This qualitativestudy, based in social services departments in London, usedthe focus group method to explore the provision of supervisionby team managers in a very pressurized work environment. Thestudy highlights the difficulty of protecting adequate supervisiontime but shows how supervisors can use their skills to conductcase related discussion concerned with developing professionalskills. ‘Inquisitorial’ and ‘empathic-containing’functions are identified and an approach is proposed for combiningthem in training courses for child protection supervisors. Thepaper recommends that supervision training needs to be expanded,to be more precisely targeted, and that outcomes need to berigorously and appropriately assessed.     

JOB RELEASE CONTROL USING A CYCLIC SCHEDULE*

In just‐in‐time inventory management in any manufacturing setting, the general idea has been to release jobs as late as possible (to reduce inventory costs) while still having them arrive at bottleneck machines in time to maintain the desired throughput (by not starving a bottleneck machine). When a cyclic schedule is employed, the throughput is determined by a cyclic sequence of operations known as the cyclic critical path. These operations are not, in general, all performed on a single bottleneck machine. We present an algorithm for releasing jobs that treats this cyclic critical path as the bottleneck. Although this algorithm has the somewhat complex task of not delaying any of these operations on the cyclic critical path, it is greatly simplified by being able to take advantage of the fixed sequence of the cyclic schedule. The result is that the algorithm is relatively simple to implement. Although it uses a simulation‐based analysis, this analysis can all be done and the necessary results stored in advance of its use. We test the algorithm in a job shop environment with stochastic operation times. This algorithm is shown to be effective at reducing inventory while avoiding decreases in throughput.