scholarly journals CPM and PERT techniques for small-scale R&D projects

Author(s):  
Marius Simion ◽  
Gabriela Vasile ◽  
Cristina Dinu ◽  
Roxana Scutariu

Contemporary Project Management has conceived tools based on mathematical models for planning, scheduling and controlling the projects, the costs and resources. Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) are two network-based methods which were independently developed to assist the project managers in order to schedule complex real-life projects. A scheduling of a small-scale R&D project using these optimization time-oriented methods was accomplished. In many models of project network some activities are closely related to each other such as procurement activities of basic resources and research activities. If this precedence relationship is on the critical path, that means without no event slack or float time for activities, then some procurements delay may cause lag in the project’s completion time. Thus a good estimation for procurement and research activities duration is needed for a Just-in-Time project.

2012 ◽  
Vol 2 (2) ◽  
pp. 91-101 ◽  
Author(s):  
V. Sireesha ◽  
N. Ravi Shankar ◽  
K. Srinivasa Rao ◽  
P. Phani Bushan Rao

In this paper, the authors propose a new method to compute the fuzzy latest times and float times of activities for a project scheduling problem with fuzzy activity times. The authors have considered LR fuzzy numbers to represent the activity times. As the data of the problem are LR fuzzy numbers, the authors have shown that the results are also in terms of LR fuzzy numbers. Total float time of each activity can be found by this method without using the forward pass and backward pass computations. The authors use an example to illustrate the method. This paper shows the advantages of this method over the existing methods with great clarity. The proposed method illustrates its application to fuzzy critical path problems occurring in real life situations.


This critical path method is very useful method in the project network to succeed the multifaceted jobs. The main benefit of this technique is to decrease the completion time of the jobs. In this paper the Interval valued Hexagonal fuzzy number is applied to determine the critical path. The procedure for critical path method is described. Finally Numerical example is presented.


2012 ◽  
Vol 18 (68) ◽  
pp. 1
Author(s):  
علاء الدين نوري احمد ◽  
نذير عباس ابراهيم

In this paper, we consider the problem of stochastic project network when some or all activities are interrupted. An approach has been built to schedule the critical activities, by constructing some expressions based on the project lateness costs due to the interruption activities. Two simple example are presented to validate our approach. Key words: Project Management, Project scheduling, Stochastic activity duration, Stochastic PERT.     Introduction    Recently, Projects planning and optimal timing, under uncertainty are extremely critical for many organizations, see [19]. Having an effective mathematical model will give project managers a significant tool for replanning projects allocation decisions in response events and outcomes. As a result, the uncertainty associated with such risky projects should be reduced.        No one factor can account for, or prevent, failure in a project. It is common practice for a project team to develop a comprehensive risk assessment and risk management plan. Identifying the most critical activities with regard to schedule risk is a problem faced by all project managers.   The problem of identifying critical activities (CA) in a deterministic network is well understood, by standard Critical Path Method (CPM) known as Program Evaluation and Review Technique (PERT). Since a project could be delayed if these activities were not completed in the scheduled time. The classical PERT method is the probably is the best-known mechanism for considering the stochastic nature of activity durations, in which it is possible to develop estimates of the uncertainty of the project make span. For more details see [8] & [10 ].


2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Adetoye Aribisala ◽  
Adegboyega Otenaike ◽  
Olusegun Balogun ◽  
Lizzy Ofusori

Between fifty to eighty percentof the projects known are not completed within the specified number of working days. Either the contractor was assessed liquidated damages or time extensions were authorized, necessitating additional manpower and / or extended working hours.The result in both cases was animmediate financial loss to the contractors; these losses were ultimately passed on to the company in general, contributing to spiraling project costs.Therefore, this paper examines and analysis data related to the project of the reactivation of line 1 for the production of iron ore concentrates of national Iron Ore Mining Company, Itakpe. Data collected involved the optimistic time, most likely and pessimistic times of completion of critical activities making up the project. This data was analyzed using the Program Evaluation and Review Technique(PERT), a MATLAB program was written to determine the critical path and the probability of project completion at a simulated time. It was found out that the project should have been completed in an optimal time of between 110 and 120 days as against the actual completion time of 180 days. The result of the simulated optimal completion time was compared to the actual completion time. Management agreed to adopt the PERT technique in future project works in the organization.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Vipul Chalotra

The present research divulges the different inventory control techniques used small scale cements enterprises operated by small scale entrepreneurs through the assistance of primary data collected from eight small scale cement enterprises operating in SIDCO & SICOP, under DIC (District Industries Center) in District Udhampur of Jammu & Kashmir State. The various inventory control techniques identified and quested for in the research were: Always Better Control (ABC), Economic Order Quantity (EOQ), Material Requirement Planning (MRP), and Just-in-Time (JIT). The results of the ranking table quoted that Economic Order Quantity (EOQ) was awarded first rank by almost all the units representing overall mean score of 1.71, Always Better Control (ABC) was denoted by rank two repressing overall mean value as 2.00, Material Requirement Planning (MRP) was quoted rank three as depicted by its mean ranking (2.25), and Just-in-time (JIT) was accorded rank four (3.71) by almost all the small scale cements entrepreneurs/owners.


Author(s):  
Cristina Tassorelli ◽  
Vincenzo Silani ◽  
Alessandro Padovani ◽  
Paolo Barone ◽  
Paolo Calabresi ◽  
...  

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has severely impacted the Italian healthcare system, underscoring a dramatic shortage of specialized doctors in many disciplines. The situation affected the activity of the residents in neurology, who were also offered the possibility of being formally hired before their training completion. Aims (1) To showcase examples of clinical and research activity of residents in neurology during the COVID-19 pandemic in Italy and (2) to illustrate the point of view of Italian residents in neurology about the possibility of being hired before the completion of their residency program. Results Real-life reports from several areas in Lombardia—one of the Italian regions more affected by COVID-19—show that residents in neurology gave an outstanding demonstration of generosity, collaboration, reliability, and adaptation to the changing environment, while continuing their clinical training and research activities. A very small minority of the residents participated in the dedicated selections for being hired before completion of their training program. The large majority of them prioritized their training over the option of earlier employment. Conclusions Italian residents in neurology generously contributed to the healthcare management of the COVID-19 pandemic in many ways, while remaining determined to pursue their training. Neurology is a rapidly evolving clinical field due to continuous diagnostic and therapeutic progress. Stakeholders need to listen to the strong message conveyed by our residents in neurology and endeavor to provide them with the most adequate training, to ensure high quality of care and excellence in research in the future.


2018 ◽  
Vol 26 (3) ◽  
pp. 198-210 ◽  
Author(s):  
Suat Gonul ◽  
Tuncay Namli ◽  
Sasja Huisman ◽  
Gokce Banu Laleci Erturkmen ◽  
Ismail Hakki Toroslu ◽  
...  

AbstractObjectiveWe aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategies to support self-management by optimizing various intervention components tailored to people’s individual needs, momentary contexts, and psychosocial variables.Materials and MethodsWe propose a template-based digital intervention design mechanism enabling the configuration of evidence-based, just-in-time, adaptive intervention components. The design mechanism incorporates a rule definition language enabling experts to specify triggering conditions for interventions based on momentary and historical contextual/personal data. The framework continuously monitors and processes personal data space and evaluates intervention-triggering conditions. We benefit from reinforcement learning methods to develop personalized intervention delivery strategies with respect to timing, frequency, and type (content) of interventions. To validate the personalization algorithm, we lay out a simulation testbed with 2 personas, differing in their various simulated real-life conditions.ResultsWe evaluate the design mechanism by presenting example intervention definitions based on behavior change taxonomies and clinical guidelines. Furthermore, we provide intervention definitions for a real-world care program targeting diabetes patients. Finally, we validate the personalized delivery mechanism through a set of hypotheses, asserting certain ways of adaptation in the delivery strategy, according to the differences in simulation related to personal preferences, traits, and lifestyle patterns.ConclusionWhile the design mechanism is sufficiently expandable to meet the theoretical and clinical intervention design requirements, the personalization algorithm is capable of adapting intervention delivery strategies for simulated real-life conditions.


2021 ◽  
Vol 23 (1) ◽  
pp. 1-4
Author(s):  
Eva Cendon ◽  
John Butcher

This general edition of the journal provides insights and results of research employing a wide range of approaches and perspectives on widening participation and lifelong learning. Studies from across the UK and international sector utilise different methodological approaches, and as such are particularly interesting, with diverse methods and ways of analysis, including phenomenographic, narrative, and thematic analysis. Overall, the articles range from exploratory case studies and small-scale research to wider range and broad scale studies, highlighting different facets and perspectives. Furthermore, the articles in this volume cover a broad spectrum of institutions and places involved in widening participation, with an emphasis on the (higher) education sector in the UK balanced by international perspectives. The first seven empirical articles are based on research activities in a secondary school, a youth centre, in further education colleges (usually focusing on post-compulsory secondary or pre-university education), in so-called post-92 universities (new(er) universities, formerly Polytechnics and teacher training colleges), and last but not least in a research intensive Russell Group university. They reported challenges from the specific local contexts of different regions in England, from the South (Chichester) to London to the North (Carlisle), and can usefully be framed in the context of international discussions appearing later in the journal.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
A. Anil Sinaci ◽  
Gokce B. Laleci Erturkmen ◽  
Suat Gonul ◽  
Mustafa Yuksel ◽  
Paolo Invernizzi ◽  
...  

Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of EHRs, access and analysis of patient data across different domains are a critical factor; we address this data interoperability problem between EHR systems and clinical research systems in this paper. We demonstrate that this problem can be solved in an upper level with the use of common data elements in a standardized fashion so that clinical researchers can work with different EHR systems independently of the underlying information model. Postmarketing Safety Study Tool lets the clinical researchers extract data from different EHR systems by designing data collection set schemas through common data elements. The tool interacts with a semantic metadata registry through IHE data element exchange profile. Postmarketing Safety Study Tool and its supporting components have been implemented and deployed on the central data warehouse of the Lombardy region, Italy, which contains anonymized records of about 16 million patients with over 10-year longitudinal data on average. Clinical researchers in Roche validate the tool with real life use cases.


2017 ◽  
Vol 9 (3) ◽  
pp. 334-339
Author(s):  
Rokas Semėnas

Face recognition programs have many practical usages in various fields, such as security or entertainment. Existing recognition algorithms must deal with various real life problems – mainly with illumination. In practice, illumination normalization models are often used only for Small-scale futures extraction, ignoring Large-scale features. In this article, new and more direct approach to this problem is offered, used algorithms and test results are given.


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