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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-3104</issn><issn pub-type="epub">3042-3104</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi"> https://doi.org/10.48314/apem.v2i2.32 </article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Business process large language model framework, Large language model, Business process management, Decision support system, Digital trans formation. </subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Digital Transformation in Behshahr Industrial Development Holding Corporation: Leveraging the BPLLM Framework for Process Optimization and Business Growth</article-title><subtitle>Digital Transformation in Behshahr Industrial Development Holding Corporation: Leveraging the BPLLM Framework for Process Optimization and Business Growth</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Bagherian</surname>
		<given-names>Mohammad </given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Bagherian</surname>
		<given-names>Behnam </given-names>
	</name>
	<aff>Department of Railway Transportation Engineering, Iran University of Science and Technology, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Nahavandi</surname>
		<given-names>Nasim </given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>05</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>07</day>
        <month>05</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Digital Transformation in Behshahr Industrial Development Holding Corporation: Leveraging the BPLLM Framework for Process Optimization and Business Growth</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Process-aware Decision Support Systems (DSSs) have been traditionally enhanced by incorporating Artificial Intelligence (AI) functionalities to facilitate accelerated and informed decision-making. To advance its digital transformation and capitalize on AI, Behshahr Industrial Development Holding Corp. can tap into the innovative Business Process Large Language Model (BPLLM) framework to optimize business decisions and processes. The framework boosts flexibility, autonomy, and accuracy in supporting process-aware decision-making by blending advanced Natural Language Processing (NLP) and Business Process Management (BPM) capabilities. Key characteristics of BPLLM include process-specific informational Retrieval-Augmented Generation (RAG), fine-tuning models to meet organizational needs, and process-aware chunking. Evaluating this framework in various scenarios has revealed the high ability of BPLLM to identify activities and sequence flows and offer precise and relevant answers. By leveraging this framework, Behshahr Industrial Development Holding Corp can enhance supply chain management, production efficiency, and market and customer analysis, facilitating sustainable and intelligent growth.
		</p>
		</abstract>
    </article-meta>
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