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Journal articles on the topic 'Process Mapping'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Lee, Yong Sik, Jin Woo Lee, and Yun Jong Lee. "Development of the Process Mapping for the Radiation Safety Management." Journal of Radiation Protection and Research 38, no. 3 (September 30, 2013): 149–56. http://dx.doi.org/10.14407/jrp.2013.38.3.149.

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2

McLaughlin, Nancy, Jennifer Rodstein, Michael A. Burke, and Neil A. Martin. "Demystifying Process Mapping." Neurosurgery 75, no. 2 (August 2014): 99–109. http://dx.doi.org/10.1227/neu.0000000000000360.

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Bonawitz, Kirsten, Zoe Finer, Michele Heisler, Marisa Wetmore, Vanessa Dalton, and Michelle Moniz. "Workflow Process Mapping." Obstetrics & Gynecology 135 (May 2020): 102S. http://dx.doi.org/10.1097/01.aog.0000664244.26110.ca.

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4

Pojasek, Robert B. "Understanding a process with process mapping." P2: Pollution Prevention Review 7, no. 3 (1997): 91–101. http://dx.doi.org/10.1002/(sici)1520-6815(199722)7:3<91::aid-ppr10>3.0.co;2-l.

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5

Anastasios, Vasilopoulos, Tsoucalas Gregory, and Thomaidis Vasileios. "Elongated Styloid Process: Mapping the incidence in Greek population." International Journal of Anatomy and Research 9, no. 2.2 (May 11, 2021): 7994–8000. http://dx.doi.org/10.16965/ijar.2021.124.

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Background: Styloid process (SP) is a needle shaped projection of the temporal bone, which lies in close proximity to several important anatomical structures of the head and neck. It attracts the attention of anatomists, otolaryngologists and head and neck surgeons, as an abnormally long SP is linked with a clinical condition known as Eagle Syndrome. There are numerous studies in the literature investigating morphometric characteristics of SP, including its length in different populations. The aim of this study is to investigate the incidence of SP elongation in Greek population and to construct an epidemiologic map showing the incidence of SP elongation across different regions of Greek territory. Materials and methods: Two hundred and nine skulls retrieved from cemeteries across Greece were meticulously examined. Ninety-four male skulls and one-hundred and fifteen females, all of Hellenic origin. SP length was measured from the lowest inner point of the surface between the SP and the stylomastoid foramen to its tip, utilizing a digital caliper and a steel wire. Data from this study were statistically analyzed and combined with data from other studies in Greek population in order to construct a detailed epidemiologic map. Results: The mean length was 27.26 ± 5.89 mm for the left and 27.84 ± 6.31 mm for the right SP. In males 36.4% of the left and 37.8% of the right SP were elongated. In females the incidence of SP elongation was 14.3% and 15.5% for left and right side respectively. Statistically significant association was observed between gender and SP length but not between age and SP length. Conclusion: This study enriches the literature by adding information about elongated SP incidence in Greek population. It reviews the existing studies about SP length in Greeks and presents an epidemiologic map showing the incidence of SP elongation across different regions in Greece. KEY WORDS: Skull, Eagle syndrome, Hellenic population, Elongated Styloid Process.

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Updike Toler, Lorraine. "Mapping the Constitutional Process." Cambridge Journal of International and Comparative Law 3, no. 4 (2014): 1260–86. http://dx.doi.org/10.7574/cjicl.03.04.242.

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7

Potter, Patricia, Stuart Boxerman, Laurie Wolf, Jessica Marshall, Deborah Grayson, Jennifer Sledge, and Bradley Evanoff. "Mapping the Nursing Process." JONA: The Journal of Nursing Administration 34, no. 2 (February 2004): 101–9. http://dx.doi.org/10.1097/00005110-200402000-00009.

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Carmona, Josep, Lluís Padró, and Luis Delicado. "Flexible Process Model Mapping using Relaxation Labeling." Fundamenta Informaticae 175, no. 1-4 (September 28, 2020): 123–41. http://dx.doi.org/10.3233/fi-2020-1950.

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Computing a mapping between two process models is a crucial technique, since it enables reasoning and operating across processes, like providing a similarity score between two processes, or merging different process variants to generate a consolidated process model. In this paper we present a new flexible technique for process model mapping, based on the relaxation labeling constraint satisfaction algorithm. The technique can be instantiated so that different modes are devised, depending on the context. For instance, it can be adapted to the case where one of the mapped process models is incomplete, or it can be used to ground an adaptable similarity measure between process models. The approach has been implemented inside the open platform NLP4BPM, providing a visualization of the performed mappings and computed similarity scores. The experimental results witness the flexibility and usefulness of the technique proposed.

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9

Kelley, Katherine A., James W. McAuley, Lane J. Wallace, and Sylvan G. Frank. "Curricular Mapping: Process and Product." American Journal of Pharmaceutical Education 72, no. 5 (September 2008): 100. http://dx.doi.org/10.5688/aj7205100.

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10

Fraser, Janet. "Mapping the Process of Translation." Meta 41, no. 1 (September 30, 2002): 84–96. http://dx.doi.org/10.7202/002772ar.

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Abstract The aim of this article is to consider whether the training of student translators should be product-driven or process-driven. The author briefly comments on why current translation theory sometimes seems unhelpful to trainee and practising translators. Then she presents the findings of two studies of professional translators at work, and finally, from an analysis of the processes professionals engage in, she draws up some principles for a systematic approach to translator training.

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11

Kochanek, Julie Reed, Carrie Scholz, and Alicia J. Garcia. "Mapping the collaborative research process." education policy analysis archives 23 (December 6, 2015): 121. http://dx.doi.org/10.14507/epaa.v23.2031.

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Despite significant federal investments in the production of high-quality education research, the direct use of that research in policy and practice is not evident. Some education researchers are increasingly employing collaborative research models that use structures and processes to integrate practitioners into the research process in an effort to produce more relevant and useful work. This article presents and describes the logic model developed by researchers at American Institutes for Research (AIR) to guide their work on the Regional Educational Laboratory Midwest. Under this program, AIR researchers have developed eight research alliances. The alliance members, who represent districts, state education agencies, and other organizations with a vested interest in education, partner with researchers to develop three- to five-year research agendas. These agendas drive the research and technical assistance projects that the alliance members and AIR researchers do together. It contributes to the emergent literature on research-practice partnerships, providing a theory-based approach to the work that others might model, build upon, or revisit.

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12

White, Gareth R. T., and Svetlana Cicmil. "Knowledge acquisition through process mapping." International Journal of Productivity and Performance Management 65, no. 3 (March 7, 2016): 302–23. http://dx.doi.org/10.1108/ijppm-01-2014-0007.

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Purpose – Business improvement initiatives have benefit for both an organisation’s operational effectiveness and its knowledge acquisition capabilities. These have a synergistic effect upon the ability to gain and maintain competitive advantage. Among the multitude of approaches that can be adopted process mapping (PMapping) is widely used. The purpose of this paper is to examine the utilisation of PMapping for undertaking business process improvement and the resultant acquisition of knowledge among those that are involved in its performance and the subsequent use of process maps (PMaps). Design/methodology/approach – Adopting the notion of " knowledge as knowing " and Activity Theory as the research framework, a four-year Participatory Action Research study of three organisations was conducted. Data were gathered through cyclically developed semi-structured interviews, on-site observation and instantaneously sampled field notes. Findings – It finds that PMapping is a useful technique for conducting business process improvements and acquiring knowledge of organisations and their people. It also finds that PMaps are useful knowledge repositories that have value beyond aiding the development of improved business processes. Socialisation is a key determinant of knowledge coproduction and transfer. This study finds that it occurs in formal and informal modes between individuals engaged in PMapping. Research limitations/implications – The choice of PMapping technique may have significant influence upon the knowledge that is acquired by individuals and organisations during business process improvement initiatives. Future research should explore the relationship between PMapping methods, their knowledge-generative potential and the usability of the resultant PMaps. Practical implications – Organisations undertaking business process improvement initiatives should take account of those factors that mediate its undertaking and its knowledge-generative potential. The objectives of improvement initiatives and of specific activities such as PMapping need to be carefully considered. Changes in objectives need clear communication and justification, and the purpose and benefit of such changes must be weighed against the potential detrimental effect that they may have upon the workforce. Inconsiderate goals setting and changing can lead to individuals coming under significant psychological and sociological pressures. Originality/value – This research furthers the understanding of knowledge acquisition and business process improvement in non-manufacturing environments. It identifies the challenges involved in adopting PMapping as a business improvement tool. It also provides insight into the use of the tool as a technique for fostering knowledge acquisition in individuals.

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13

Connell, Raewyn, and June Crawford. "Mapping the intellectual labour process." Journal of Sociology 43, no. 2 (June 2007): 187–205. http://dx.doi.org/10.1177/1440783307076895.

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14

Whitman, Gary J., Steven L. Venable, Rebecca L. Downs, Dolores Garza, Sandra Levy, Karen J. Ophir, Karen F. Spears, Susan K. Sprinkle-Vincent, and Carol B. Stelling. "Process mapping in screening mammography." Journal of Digital Imaging 12, S1 (May 1999): 208. http://dx.doi.org/10.1007/bf03168805.

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15

Aldowaisan, Tariq A., and Lotfi K. Gaafar. "Business process reengineering: an approach for process mapping." Omega 27, no. 5 (October 1999): 515–24. http://dx.doi.org/10.1016/s0305-0483(99)00015-8.

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16

Bowles, David E., and Lorraine R. Gardiner. "Supporting process improvements with process mapping and system dynamics." International Journal of Productivity and Performance Management 67, no. 8 (November 12, 2018): 1255–70. http://dx.doi.org/10.1108/ijppm-03-2017-0067.

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Purpose The purpose of this paper is to study the effectiveness of combining process mapping and system dynamics (SD) in an organization’s ongoing business process improvement projects. Design/methodology/approach Norfield Industries, designer and manufacturer of prehung door machinery, used process mapping and SD in a project targeting the improvement of its design document control process. The project team first used process mapping to document its current process and identify potential improvements. The team then developed an SD model to investigate the potential impacts of proposed process changes. Findings The case study supports the communication and transparency benefits of process mapping reported in earlier studies. Consistent with other case studies using simulation, SD provided useful insights into possible results of proposed process changes. Research limitations/implications The findings have limitations with respect to generalizability consistent with the use of a case study methodology. Practical implications Organizational managers desiring to include simulation modeling in process improvement efforts have a choice between discrete event simulation and SD. SD may prove able to consume less organizational resources than discrete-event simulation and provide similar benefits related to reducing the risks associated with process changes. Originality/value The current case study adds to the existing literature documenting the use of process mapping combined with simulation modeling in process improvement efforts. The case study supports existing literature regarding the value of process mapping in making system processes more transparent. The results also support previous findings regarding the value of SD for simulating the possible results associated with scenarios under consideration for process improvements.

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17

Xin, Yu Peng, Xi Tian Tian, Li Jiang Huang, and Jun Hao Geng. "Geometrical Modeling Method of Process Driven by Typical Process Model." Materials Science Forum 770 (October 2013): 361–65. http://dx.doi.org/10.4028/www.scientific.net/msf.770.361.

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In order to improve the efficiency of NC machining programming, and realize the rapid establishment of blank model or middle blank model, a geometrical modeling method of process driven by typical process model was put forward. This method is based on the typical process for the establishment of typical process model, to establish a mapping between modeling operation and machining process ontology, and format model mapping rules. In the process geometrical modeling of the high similarity parts, by calling the typical process model mapping rules, can generate process models automatically. A enterprise disc type parts typical process as an example is used to verify the proposed method.

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18

Randles, Theodore J., Prof Zhe Zhang, and William Johnson Miller. "The SccoB Process." International Journal of Strategic Decision Sciences 9, no. 4 (October 2018): 16–31. http://dx.doi.org/10.4018/ijsds.2018100102.

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Based on qualities of the four-stroke engine and the medical diagnostic process, five characteristics of knowledge were identified and serve as the basis of a self-sustaining knowledge creation process. The SccoB process forms a complementary relation with the firm's existing processes and provides a counterweight to its existing mode of thought. This is done through an internal, counter-culture research institute and the creation of stress and profound insights through the identification and analysis of operational anomalies. SccoB is also a mapping process which moves the organization to greater quality and agility and to more advanced forms of mapping, such as the mapping of technical skills, complex diagnostic problem spaces, business process knowledge requirements, and cognitive force.

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19

Akamavi, Raphaël K. "Re‐engineering service quality process mapping: e‐banking process." International Journal of Bank Marketing 23, no. 1 (January 2005): 28–53. http://dx.doi.org/10.1108/02652320510577357.

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20

Quinn, Doris. "Process Mapping With Times, Process Measures, and Labor Costs." Journal of Oncology Practice 12, no. 10 (October 2016): 847–50. http://dx.doi.org/10.1200/jop.2016.014126.

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21

Zhou, Jing Tao, Hai Cheng Yang, Ming Wei Wang, and Rong Mo. "P2P Mapping Creation by Semantic Discovering and Mapping." Advanced Materials Research 186 (January 2011): 631–35. http://dx.doi.org/10.4028/www.scientific.net/amr.186.631.

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To fully fulfill the modularity and loosely coupled characteristics of P2P semantic mapping paradigm proposed in our previous work[1], a mapping creation method based on semantic discovery is presented to avoid a time-consuming and labor-intensive artificial mapping creation process. This method creates semantic mapping between peer node models by establishing the semantic relations between elements from different peer node models. Semantic relative candidates are captured through the correspondence semantic matching process including concepts matching process, attributes matching process, relations matching process, concepts and relations matching process, and concepts and attributes matching process. To improve the degree of automation for mapping establishment, the hybrid semantic discovery approach is used in the semantic discovery process.

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22

Orozco-Jutoran, Mariana. "The EULA’s labyrinth: Mapping the process." Across Languages and Cultures 15, no. 2 (December 2014): 199–217. http://dx.doi.org/10.1556/acr.15.2014.2.3.

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23

Tapinos, Efstathios, and Neil Pyper. "Mapping the Forward Looking Analysis process." Academy of Management Proceedings 2015, no. 1 (January 2015): 16916. http://dx.doi.org/10.5465/ambpp.2015.16916abstract.

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24

Harmon, Brian, Alexander Ardishvili, Richard Cardozo, Tait Elder, John Leuthold, John Parshall, Michael Raghian, and Donald Smith. "Mapping the university technology transfer process." Journal of Business Venturing 12, no. 6 (November 1997): 423–34. http://dx.doi.org/10.1016/s0883-9026(96)00064-x.

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25

Palta, J. "TU-AB-BRD-01: Process Mapping." Medical Physics 42, no. 6Part30 (June 2015): 3585. http://dx.doi.org/10.1118/1.4925500.

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26

Anders, Robert. "Defining, Mapping, andDesigning the Design Process." Design Management Journal (Former Series) 11, no. 3 (June 10, 2010): 29–37. http://dx.doi.org/10.1111/j.1948-7169.2000.tb00027.x.

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27

Nery-da-Silva, Gabriel, Luiz Teruo Kawamoto Jr., Laiane Aparecida Soares Sena Nery, Waltraudi Orchulhak Kawamoto, and Pietro Ayres Sanchini. "PROCESS MAPPING IN A DENTAL CLINIC." Revista Interdisciplinar de Estudos em Saúde 8, no. 1 (June 27, 2019): 71–99. http://dx.doi.org/10.33362/ries.v8i1.1464.

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28

Biazzo, Stefano. "Process mapping techniques and organisational analysis." Business Process Management Journal 8, no. 1 (March 2002): 42–52. http://dx.doi.org/10.1108/14637150210418629.

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29

Fülscher, Jan, and Stephen G. Powell. "Anatomy of a process mapping workshop." Business Process Management Journal 5, no. 3 (September 1999): 208–38. http://dx.doi.org/10.1108/14637159910283029.

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30

Marrelli, Anne F. "The performance technologist's toolbox process mapping." Performance Improvement 44, no. 5 (May 2005): 40–44. http://dx.doi.org/10.1002/pfi.4140440510.

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31

Pojasek, Robert B. "Understanding processes with hierarchical process mapping." Environmental Quality Management 15, no. 2 (2005): 79–86. http://dx.doi.org/10.1002/tqem.20083.

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32

Ennis, Daniel M., and John M. Ennis. "Mapping Hedonic Data: A Process Perspective." Journal of Sensory Studies 28, no. 4 (August 2013): 324–34. http://dx.doi.org/10.1111/joss.12048.

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33

Bungard, Barb. "Process Mapping-How Can It Help?" CIN: Computers, Informatics, Nursing 27, no. 3 (May 2009): 139–42. http://dx.doi.org/10.1097/01.ncn.0000336480.58361.bb.

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34

Okrent, Michael D., and Robert J. Vokurka. "Process mapping in successful ERP implementations." Industrial Management & Data Systems 104, no. 8 (October 2004): 637–43. http://dx.doi.org/10.1108/02635570410561618.

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35

Dunscombe, P. "TH-EF-BRC-01: Process Mapping." Medical Physics 43, no. 6Part46 (June 2016): 3892–93. http://dx.doi.org/10.1118/1.4958223.

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36

La Ferla, B. "Mapping the way to process improvement." Engineering Management 13, no. 6 (December 1, 2003): 16–17. http://dx.doi.org/10.1049/em:20030602.

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37

Towill, D. R. "Breaking the china [process flow mapping]." Manufacturing Engineer 84, no. 5 (October 1, 2005): 26–31. http://dx.doi.org/10.1049/me:20050506.

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38

Markman, Arthur B., and Dedre Gentner. "Structure Mapping in the Comparison Process." American Journal of Psychology 113, no. 4 (2000): 501. http://dx.doi.org/10.2307/1423470.

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39

Rull, Guillem, Carles Farré, Ernest Teniente, and Toni Urpí. "Validation of schema mappings with nested queries." Computer Science and Information Systems 10, no. 1 (2013): 79–104. http://dx.doi.org/10.2298/csis120713042r.

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With the emergence of the Web and the wide use of XML for representing data, the ability to map not only flat relational but also nested data has become crucial. The design of schema mappings is a semi-automatic process. A human designer is needed to guide the process, choose among mapping candidates, and successively refine the mapping. The designer needs a way to figure out whether the mapping is what was intended. Our approach to mapping validation allows the designer to check whether the mapping satisfies certain desirable properties. In this paper, we focus on the validation of mappings between nested relational schemas, in which the mapping assertions are either inclusions or equalities of nested queries. We focus on the nested relational setting since most XML?s Document Type Definitions (DTDs) can be represented in this model. We perform the validation by reasoning on the schemas and mapping definition. We take into account the integrity constraints defined on both the source and target schema. We consider constraints and mapping?s queries which may contain arithmetic comparisons and negations. This class of mapping scenarios is significantly more expressive than the ones addressed by previous work on nested relational mapping validation. We encode the given mapping scenario into a single flat database schema, so we can take advantage of our previous work on validating flat relational mappings, and reformulate each desirable property check as a query satisfiability problem.

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40

Serpeloni, Felipe, Regina Moraes, and Rodrigo Bonacin. "Ontology Mapping Validation." International Journal of Web Portals 3, no. 3 (July 2011): 1–11. http://dx.doi.org/10.4018/jwp.2011070101.

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The use of ontologies and ontology mappings is increasing in companies. Often the same context is modeled in different ontologies. Mapping is necessary to integrate these ontologies; however, in many cases these mappings are incorrect, i.e., they incorrectly link semantic concepts with different meanings. Tools that validate these mappings are necessary to ensure reliable communication between heterogeneous systems. This validation cannot be done in a completely automatic way, because the mappings are based on human interpretation. This work describes a semi-automatic tool that supports this activity, based on graphs that generate instances validated in a semi-automatic process that aims to ensure mapping robustness. This algorithm deals with an NP-Complete problem in order to generate all the instances. This paper presents a first prototype of the tool and the methodology used to validate the instances automatically generated by the tool.

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41

KAEWKHAO, A., C. KLANGPRAPHAN, and B. PANYANAK. "Fixed points of Osilike-Berinde-G-nonexpansive mappings in metric spaces endowed with graphs." Carpathian Journal of Mathematics 37, no. 2 (June 9, 2021): 311–23. http://dx.doi.org/10.37193/cjm.2021.02.16.

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"In this paper, we introduce the notion of Osilike-Berinde-G-nonexpansive mappings in metric spaces and show that every Osilike-Berinde-G-nonexpansive mapping with nonempty fixed point set is a G-quasinonexpansive mapping. We also prove the demiclosed principle and apply it to obtain a fixed point theorem for Osilike-Berinde-G-nonexpansive mappings. Strong and \Delta-convergence theorems of the Ishikawa iteration process for G-quasinonexpansive mappings are also discussed."

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42

Carrizo, Dante, and Cristian Ortiz. "Models of requirements elicitation process: A systematic mapping." Ingeniería y Desarrollo 34, no. 1 (January 15, 2016): 184–203. http://dx.doi.org/10.14482/inde.34.1.7958.

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43

Patsahan, Taleb, Stafiej, and Badiali. "Mapping between two models of etching process." Condensed Matter Physics 10, no. 4 (December 2007): 579. http://dx.doi.org/10.5488/cmp.10.4.579.

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44

Chai, Sen. "Mapping the Faulty Process in Breakthrough Misses." Academy of Management Proceedings 2016, no. 1 (January 2016): 10790. http://dx.doi.org/10.5465/ambpp.2016.10790abstract.

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Haron, Siti Haizatul Aishah, and Rohaizan Ramlan. "Patient Process Flow Improvement: Value Stream Mapping." Journal of Management Research 7, no. 2 (January 21, 2015): 495. http://dx.doi.org/10.5296/jmr.v7i2.6988.

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46

Maita, Ana Rocío Cárdenas, Lucas Corrêa Martins, Carlos Ramón López Paz, Laura Rafferty, Patrick C. K. Hung, Sarajane Marques Peres, and Marcelo Fantinato. "A systematic mapping study of process mining." Enterprise Information Systems 12, no. 5 (November 20, 2017): 505–49. http://dx.doi.org/10.1080/17517575.2017.1402371.

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47

Klotz, Leidy, Michael Horman, Henry H. Bi, and John Bechtel. "The impact of process mapping on transparency." International Journal of Productivity and Performance Management 57, no. 8 (October 31, 2008): 623–36. http://dx.doi.org/10.1108/17410400810916053.

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48

Pojasek, Robert B. "Mapping information flow through the production process." Environmental Quality Management 13, no. 3 (2004): 89–97. http://dx.doi.org/10.1002/tqem.20007.

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49

Heher, Yael K., and Yigu Chen. "Process mapping: A cornerstone of quality improvement." Cancer Cytopathology 125, no. 12 (November 22, 2017): 887–90. http://dx.doi.org/10.1002/cncy.21946.

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50

Kirchbach, Konrad Von, Christian Schulz, and Jesper Larsson Träff. "Better Process Mapping and Sparse Quadratic Assignment." ACM Journal of Experimental Algorithmics 25 (November 8, 2020): 1–19. http://dx.doi.org/10.1145/3409667.

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