SwePub
Sök i LIBRIS databas

  Extended search

(WFRF:(Khurram Shahzad Muhammad))
 

Search: (WFRF:(Khurram Shahzad Muhammad)) > (2010-2014) > Improving Business ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004827nam a2200433 4500
001oai:DiVA.org:kth-107691
003SwePub
008121215s2012 | |||||||||||000 ||eng|
020 a 9789175016092q print
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1076912 URI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a vet2 swepub-contenttype
072 7a dok2 swepub-publicationtype
100a Shahzad, Muhammad Khurramu KTH,Data- och systemvetenskap, DSV4 aut0 (Swepub:kth)u1mkyjqv
2451 0a Improving Business Processes using Process-oriented Data Warehouse
264 1a Stockholm :b KTH Royal Institute of Technology,c 2012
300 a 194 s.
338 a electronic2 rdacarrier
490a Trita-ICT-ECS AVH,x 1653-6363 ;v 12:08
500 a QC 20121217
520 a The Business Process Management (BPM) lifecycle consists of four phases: design and analysis, configuration, enactment, and evaluation - also known as performance analysis and improvement. Performance analysis and improvement of business processes, one of the core phases in the BPM life cycle, is becoming on top of the agenda for many enterprises. An emerging approach to that is to use the business intelligence approaches that attempt to facilitate the analytical capabilities of business process management systems by implementing process-oriented data warehouse and mining techniques. However, little work has been has done on developing core methods and tools for performance analysis and improvement of business processes. In particular, adequate methods, clearly defined steps or instructions that can guide process managers for analyzing and improving processes using process warehouse (PW) are not available. In the absence of such methods, guidelines or clearly defined steps, important steps may be ignored and credible improvements steps cannot be taken.This research addresses the described limitations by developing a method for performance analysis and improvement of business processes. The key feature of the developed method is, it employs business-orientation in the design and utilization of a PW. The method is composed of three steps, building goal-structure, integrating goal-structure with PW, and analyzing and improving business processes. During the first step, a set of top-level performance goals are identified for the process of interest. Subsequently, the identified  goals are decomposed to generate a goal-structure that is aligned with the functional decomposition of the process of interest. The second step describes a technique for integrating the generated goal-structure with PW. The third step describes, a performance estimation model, a decision model and a step by step approach that focuses on utilizing PW for analysis and improvement of business processes.In order to facilitate the use of the proposed method a prototype is developed. The prototype offers a graphical user interface for defining goal structure, integrating goals with PW, and goal-based navigation of PW. In order to evaluate the proposed method, we first develop an evaluation framework and subsequently use it for the evaluation of the proposed method. The framework consists of three components, each representing a type of evaluation. The components are, methodological-structure evaluation, performance-based evaluation and perception-based evaluation. The results of the evaluation show partial support for the methodological structure. However, the results of performance and perception evaluation show promising results of the proposed method.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Systemvetenskap, informationssystem och informatik0 (SwePub)102022 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Information Systems0 (SwePub)102022 hsv//eng
653 a process analysis
653 a business process improvement
653 a goal-driven process improvement. process-oriented data warehouse
653 a business-orientation of process warehouse
653 a decision making
653 a SRA - ICT
653 a SRA - Informations- och kommunikationsteknik
700a Johannesson, Paul,c Professoru KTH,Data- och systemvetenskap, DSV4 ths0 (Swepub:kth)u14egck5
700a Zdravkovic, Jelena,c Associate Professoru KTH,Data- och systemvetenskap, DSV4 ths0 (Swepub:kth)u1v3kr8h
700a Kirikova, Marite,c Professoru Riga Technical University4 opn
710a KTHb Data- och systemvetenskap, DSV4 org
856u https://kth.diva-portal.org/smash/get/diva2:577335/FULLTEXT01.pdfx primaryx Raw objecty fulltext
856u https://kth.diva-portal.org/smash/get/diva2:577335/ERRATA01.pdfy errata
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107691

Find in a library

To the university's database

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view