scholarly journals Master Scheduling Sample Implementation Task List

2015 ◽  
pp. 581-592
Keyword(s):  
Robotica ◽  
2021 ◽  
pp. 1-25
Author(s):  
An Zhang ◽  
Mi Yang ◽  
Bi Wenhao ◽  
Fei Gao

Abstract This paper considers the task allocation problem under the requirement that the assignments of some critical tasks must be maximized when the network capacity cannot accommodate all tasks due to the limited capacity for each unmanned aerial vehicle (UAV). To solve this problem, this paper proposes an extended performance impact algorithm with critical tasks (EPIAC) based on the traditional performance impact algorithm. A novel task list resizing phase is developed in EPIAC to deal with the constraint on the limited capacity of each UAV and maximize the assignments of critical tasks. Numerical simulations demonstrate the outstanding performance of EPIAC compared with other algorithms.


2021 ◽  
Vol 5 (1) ◽  
pp. 21-29
Author(s):  
Dianqing Lv ◽  
Wen Yang ◽  
Longfei Han ◽  
Liwen Yi ◽  
Guang Han

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S68-S68
Author(s):  
Eva Keatley ◽  
Carolyn B Blayney ◽  
Shelley A Wiechman

Abstract Introduction In 2015, the Burn Quality Improvement Program (BQUIP) guidelines were established with recommendations for systematic screening of Major Depressive Disorder at all verified burn centers. Our level one trauma center rolled out a program to screen all patients entering the burn service starting in June 2018. After a year of collecting data, we have been able to evaluate the program and make recommendations for other burn centers. Methods All patients admitted to the inpatient burn service who were over 12 years of age were screened by bedside nurses using the 2-item Patient Health Questionnaire (PHQ-2). Exclusion for screening included those who were intubated and sedated and/or not alert or oriented. A reminder automatically popped up in the nursing task list in the electronic medical record until it was given, or patient was coded as not appropriate for screening. Results A total of 509 patients were admitted to the Burn Service between June 2018 and May 2019. Of those, 40 were identified as not being appropriate for screening due to inability to regain consciousness, and 116 (24%) were not screened for unknown reasons. The remaining patients, 353 (77%) were screened with the PHQ-2 and 94% of these patients were screened on the same day of admit. Of the patients screened, 28 (8%) scored above the clinical cut-off for probable depression (PHQ-2 ³ 3) and 265 (75.1%) did not endorse any symptoms on the PHQ-2. Of the 28 that screened positive, 16 (57.1%) received psychological services. Of those that did not receive psychology services, the majority were admitted for less than 3 days (n=10, 76.9%). Conclusions In the first year of the program the vast majority of eligible patients were able to be screened by nursing staff with a 2-item measure. A 77% screening rate is high for a trauma setting. This success is likely due to the automation of the task in the electronic medical record, the ease of use of the PHQ-2 and the dedication of the nursing staff. The 8% rate of a positive screen is higher than the general population (4%) but a similar rate to what is reported in the literature of burn survivors who are 5- and 10-years post burn injury. Given that most patients were screened within 24 hours of admission, we are capturing depressive symptoms that predate the injury. We know that depression can impair burn recovery (e.g., affect participation in therapy, impede wound healing) and lead to poorer long-term outcomes. Systematic screening of depressive symptoms upon admission will allow us to intervene earlier and potentially reduce barriers to optimal recovery. We will be discussing utilization of resources for providing inpatient services to patients with a positive screen.


2018 ◽  
Vol 2 ◽  
pp. 12-20 ◽  
Author(s):  
Svitlana Popereshnyak ◽  
Anastasia Vecherkovskaya

In the course of the study, the activity of Ukrainian enterprises was analyzed. It was revealed that the main aspects that require increased attention, regardless of the industry, are staff management and order management. The activity of any enterprise consists of fulfilling orders and, as a consequence, satisfying customers. It is proposed to develop an automated system that will enable to keep records of orders, namely: the time of order receipt, the number of products, the urgency, the necessary material and time resources, the priority of the order, the executor, the predicted and actual time of the order. This system will help to organize the work of staff, namely: to optimize the working hours of employees due to the dynamic scheduling of the task list; to introduce responsibility for an order that is tied to a specific employee, to keep records of shifts and working hours, automatically form a payroll with due account of worked shifts/hours. The work designed an automated system for managing orders and staff at middle-class enterprises. The requirements for this system are defined and two types of architecture are proposed. For a better understanding of the design phase of the automated system, a class diagram, activity diagram and interaction diagrams are presented. In the process of research, the end product was created with a user-friendly and intuitive user interface that maximally satisfies all the requirements that have been defined for this system. For today the system works in a test mode at the enterprise of Ukraine. The introduction of the system to the filter element manufacturing company allowed to improve the interaction with customers by 40 % due to faster fulfillment of orders; 80 % facilitate the work of managers to track and control the execution of orders; and also, by 20% increase the efficiency of the staff department. What on the whole positively affected the work of the enterprise as a whole.


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