Optimal placement and sizing of distributed generation for loss minimization using ABC optimization

The distributed generation (DG) refers to the use of the nearby units of small generation or in the sleefelzentres. Revisions have shown that unfitting choice of the position and scope of the DG can lead to bigger system sufferers than DG's sufferers. Public services are already available before the high loss of energy loss and of the mediocre voltage profile, in particular developing countries cannot tolerate any increase in losses. From optimal allocation, public services in the reduction of system losses improve tension adjustment and improve delivery reliability. This article aims to minimalize the annual system's annual loss through the appropriate positioning and size of the DG units. The artificials bee colony (ABC) of EPA are inspired by the behavior of the API feeding, this method is incredibly conventional, a stroke or a peoplated stochastic optimization algorithm to meet the solution of the specified problem. At MATLAB, a probabilistic approach is simulated to reach the target indicates that the size of the DGs to be installed to reduce almost the same loss as a percentage that the situation in which the load power is considered constant.

Case Study of Drone Delivery Reliability for Time-Sensitive Medical Supplies With Stochastic Demand and Meteorological Conditions

Drones are increasingly being utilized to deliver medical supplies, and the COVID-19 pandemic has accelerated this trend. Drones arrive quickly by taking more direct paths and avoiding ground-based obstructions. However, drones are not completely reliable and may also experience failures and delays. For consumer products, delivery delays are an inconvenience, but for some medical supplies, delays may be fatal. This research focused on the drone reliability of one particular type of supply and event: automatic defibrillators for out-of-hospital cardiac arrests. A modeling framework was developed to analyze drone delivery reliability with stochastic demands and meteorological conditions. Using probability distributions based on real data from Portland, OR, this research quantified the failure rates as a function of drone range and meteorological conditions that included temperature, precipitation, and wind. Tradeoffs among drone reliability, fleet size, population size, and meteorological conditions were analyzed.

In search of supplier flexibility performance measurement

PurposeThe purpose of this study is to identify, characterize and assess supplier flexibility measurement practices in the order-to-delivery process.Design/methodology/approachThe study involved a survey; participants were 224 purchasing managers at Swedish manufacturing companies that had more than 20 employees.FindingsScrutiny of the details of measurement practices revealed that most respondents actually do not specifically measure supplier flexibility. Instead they measure other measures like delivery reliability, conduct qualitative follow-ups, or cannot specify how supplier flexibility is measured. It was acknowledged that they measure different supplier flexibility aspects, and the applied measures were characterized, e.g. in terms of which flexibility dimension they represent.Research limitations/implicationsConceptual clarifications and adaptations to measuring supplier flexibility in the order-to-delivery process are provided. The identified measures can be a contribution in further developing literature on flexibility performance measurement.Practical implicationsPurchasing, logistics and supply chain managers in search of supplier flexibility performance measurement can find ways to measure and an extended flexibility vocabulary. This has the potential to improve flexibility in the supply chain.Originality/valueEven though flexibility is claimed as being an important competitive advantage, few empirical studies and operationalized measures exist, particularly in the order-to-delivery process.

LEADERSHIP UNITY AND ORGANISATIONAL COMPETITIVENESS IN DEPOSIT MONEY BANKS IN NIGERIAN

The paper is an empirical examination of the relationship between leadership unity and organizational competitiveness of deposit money banks in the south south geo-political zone of Nigeria. The research design was the cross-sectional survey and data was generated from 221 managers and supervisors from 18 deposit money banks in Rivers, Bayelsa, Cross River, Akwaibom, Edo and Delta States, using the questionnaire instrument. Reliability was established using the Cronbach alpha reliability test. The Spearman’s rank order correlation was utilized in the test for the hypotheses of the study. Based on the results, all null hypotheses were rejected as the findings revealed that there exists a significant relationship between leadership unity and all measures of organizational competitiveness (innovativeness, service quality and delivery reliability) as used in the study. It was concluded that leadership unity offers cooperation and support in innovative actions and as such advances the competitiveness of the organization and leads to outcomes such as innovativeness, service quality and delivery reliability. KEYWORDS; leadership unity, organisational competitiveness, innovativeness, service quality and delivery reliability.

Improvement of Delivery Reliability by an Intelligent Control Loop between Supply Network and Manufacturing

Manufacturing companies operate in an environment characterized as increasingly volatile, uncertain, complex and ambiguous. At the same time, their customer orientation makes it increasingly important to ensure high delivery reliability. Manufacturing sites within a supply network must therefore be resilient against events from the supply network. This requires deeper integration between the supply network and manufacturing control. Therefore, this article presents a concept to connect supply network and manufacturing more closely by integrating events from the supply network into manufacturing control’s decisions. In addition to the requirements, the concept describes the structure of the system as a control loop, a reinforcement learning-based controlling element as the central decision-making component, and the integration into the existing production IT landscape of a company as well as with latest internet of things (IoT) devices and cyber-physical systems. The benefits of the concept were elaborated in expert workshops. In summary, this approach enables an effective and efficient response to events from the supply network through smarter manufacturing control, and thus more resilient manufacturing.

Review of research in cargo transportation reliability

The paper contains a review of studies in cargo and empty cars delivery reliability, describes methods of reliability calculation and monetary evaluation. The analysis showed that monetary evaluation when reliability is considered the main emphasis should be put on its for all participants of transportation process. Consignors/consignees are, as a rule, concerned about logistical control in terms of steady and regular carriages; carriers pay more attention to process operations and loading of the infrastructure elements; railway rolling stock operators give the first place to the turnaround of main operating assets.

Application of a diagnostic framework based on the concepts of Workload Control to identify the problems related to the delivery reliability in a company of the aeronautical maintenance sector

The improvement in the performance of delivery reliability in Make-To-Order (MTO) companies is an important competitive criterion in the current market environment. This research investigates how a diagnostic framework can be used to identify how delivery reliability is influenced by Production Planning and Control (PPC) decisions. For the development of this research, a case study was carried out in two workshops of a company of the aeronautical maintenance sector. In the workshops studied, delivery reliability performance is influenced by the erroneous determination of due dates (focus on DP-Date time Promissing), with the capabilities being overestimated. The main contribution of the application framework presented is an aggregate analysis of the behavior of the lateness in a certain period of time. Future research should develop criteria for subset creation and further study the framework in order to improve it.