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IISE Transactions</a> and online now on <a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq0ynZvvlYo1M6XQ99XKBRizi9wD_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB9L1j4XYkYJzZC3xV0HmR2PoKPiAwYw1T0SXXafHz5RPOYSI920tvJn2Xto9OrzvY2VTMAhUhP2M0OLkt9l3qeSSgmzr67Mn6Gir8eLuNczXFu3181najH3Ax5elX82AOHBb6PU-2F-2F-2BDqIUSCIp7tMPSJUI0H-2FBfRgYgYN2GA0tk7LTrbFEU7JkoyRHKQlg-2BzdU-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXUlkTtMMw$">
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<p class="MsoNormal" style="line-height:13.5pt"><span class="tocheading"><b><span style="font-family:"Arial",sans-serif">Data Science, Quality & Reliability
</span></b></span><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fpahYax3N8i5WuUAXihtkhPTa8-2BsaGTmsLQo1QoZh1RUIzRxuyeozr6rbX-2BjRosRqgMQ-3D-3D1SOa_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB9GIQOhQZP5MDluyVDwBLWYIwsX-2B2IojsJOD07UrlAjxIcWl5eARArSNo0Il8rLuyu7qrs9mpuIeHQ7Q71gRkT9fJE21KAJQ-2BkDzTiGDeZdgO-2B22EBsvqxDgmF5GAKLllBblkZG7X75U7bPnPRfOYT72vIrylXW-2BActDOdUoWcFkWLOpr41w6ZXGg15R-2FQEFl8-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXVdP0hjPw$">Log-linear
stochastic block modeling and monitoring of directed sparse weighted network systems</a><br>
Junjie Wang, Ahmed Maged & Min Xie<br>
Pages: 1-12 | DOI: 10.1080/24725854.2023.2203736<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><br>
</span><span class="tocheading"><b><span style="font-family:"Arial",sans-serif">Operations Engineering & Analytics
</span></b></span><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fpavLr-2BCC6kBY9mwO300MVifbsd1cI2wmJfQNHHQRy4fn13NpOfxU7tLdTTPuaaBhXgw-3D-3Dscok_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB9-2FVAfj0kwGRHUcKVVacTGsYw7ccGL0FKWbo9GpvyUOPQ59Ci41ricOJM1odw4XPV1SwhTpgQDrLnlwNDASKAF3SfIQcv4d3KW-2BD1RSNEJqmI637J74X1BqtyEj1X4dRyCoIn21jb-2Fwm9pB-2F90Edi-2FM1mG-2FJhAwq7IwpRTEnEDs-2Fu9sWyLRFWLX-2F16dDNAGy-2Fg-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXUqOMX2wg$">Routing
and wavelength assignment with protection: A quadratic unconstrained binary optimization approach enabled by Digital Annealer technology</a><br>
Oylum ªeker, Merve Bodur & Hamed Pouya<br>
Pages: 1-16 | DOI: 10.1080/24725854.2023.2193835<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><br>
</span><span class="tocheading"><b><span style="font-family:"Arial",sans-serif">Research Article
</span></b></span><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fpauLdeFoDRpTfFaKG-2FHkedL2BPwuGqUnpsYArCMmr6DJMoqo3e8e6gzWDXqrbdZVQOQ-3D-3Dnhlq_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB-2BBx-2FLaQFR-2BIN1xKaqlfG7nLI8fsYysI4JoEhR3gP3Vtx95hwGAxrSyDRZtHSe3ABNfhRBbeWGyrOmHjvsQvWCNlMM0vcOcTsRW3F2vlrSMrqGVQDzBTTvXHW6DilzriLiZR8LqAPX03Xqk-2F6uxLmLmm9oJPZKEi-2FZW0HJPvBNms6KN-2FqFLIH0aIUjlDxVp10U-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXWDXxNorA$">Optimize
to Generalize in Gaussian Processes: An Alternative Objective Based on the Rényi Divergence</a><br>
Xubo Yue & Raed Al Kontar<br>
Pages: 1-21 | DOI: 10.1080/24725854.2023.2219468This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fpajotErwLpuXlPG1HtC761mhpI1VKh-2BezdYW80qz1j0JOzzy9JeSivhemljH8tpMW9Q-3D-3DZ5t-_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB998y2zfbojAgYdPJ3IW6dk9ToCprf24ES1Szz8TLZKtEnZCdEYDw3A2Gvjt9dcuqdaCZhI8zZbsOui16nKuWWE-2FfnUyrzR-2Fx5rFIW2nJt6esmRKPGzEsayx08-2BooQB5SZy4PwiYJA3jp7PGp1Rm3UTz51jkUXTa3y6iKteYArXY1-2Bj-2F7809SunIg-2BWKHXvhms-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXUbA3L1HQ$">Reinforcement
Learning for Process Control with Application in Semiconductor Manufacturing</a><br>
Yanrong Li, Juan Du & Wei Jiang<br>
Pages: 1-25 | DOI: 10.1080/24725854.2023.2219290This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fpavsOltwrJWxTfiybamyVVjDUQ3RWWtJYiL-2F1-2BnYGDjTIxFft5MXuHcVxvdsNEWUNlg-3D-3Dj8Z6_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB-2Ba5K77V1uVqFU-2BQ-2Bxcdp7Mu5EX8-2FaYwgjma1rlND8-2FFcllL04w2bRyw2UKMCQ-2ByNkchI9iRjRpOF6tAagz3Ve98c5QLzlWaBiXgxXsyCpkasjGwRbbnAkeZh19g6H5lMLi0myT1DNYn2wHX2rgjBGfNyzk2dXuIacyMQmEu0kt3LQ2EhU6C6BGUZBeAR-2F0kUQ-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXVCgtCVMQ$">A
multi-agent reinforcement learning model for inventory transshipments under supply chain disruption</a><br>
Byeongmok Kim, Jong Gwang Kim & Seokcheon Lee<br>
Pages: 1-23 | DOI: 10.1080/24725854.2023.2217248This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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Scheduling for In-clinic and Virtual Medicine Patients in a Multi-Station Network</a><br>
Jingyao Huang, Douglas Morrice & Jonathan Bard<br>
Pages: 1-42 | DOI: 10.1080/24725854.2023.2216759This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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Scheduling and Routing Problem: Formulation, Optimization and Implications</a> |
<img border="0" id="_x0000_i1027" src="https://www.tandfonline.com/templates/jsp/_style2/_tandf/images/open_access_lock.png" alt="Open Access"><br>
Mingda Liu, Yanlu Zhao & Xiaolei Xie<br>
Pages: 1-33 | DOI: 10.1080/24725854.2023.2215843This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fparKkwtFHcn1BEtHqKp-2BoT9nvah00wh-2Fy8yKkgQxrg6jgUwkBWRf46wK1nRSw4jZWqQ-3D-3DQTbT_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB9Mvn1LMtqsze5e-2BB-2BFisSoNfuI-2F3AeaAv958prrjl74WIduP6w29zodehRPhY3t7mCfOQ7qODawD9MN99WJm9u30kc0kO8835FS1HRYy6QbFi7BDvNuCgSS0fpP-2BtGaQjTAG9VT5BF4Jg8DvtN16pKdR-2FmMqb1Lm7GL-2Byg5c-2Fm-2FfcSnYD4d-2FZssS1eKqzeLV4-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXWCpyf1PQ$">The
drop box location problem</a><br>
Adam Schmidt & Laura A. Albert<br>
Pages: 1-24 | DOI: 10.1080/24725854.2023.2213754This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fparQxZYKaX-2BtfZ0yysPmfI4tXRrtsMh4hXB-2F0ztLX9lVPVaUNz-2F2nZ0X58ITG1XlvDg-3D-3DvrDC_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB-2FFi7MoxzzrdNiv3uEIbunDQtQNSBKHVgBRVO6WOnkbKVmiRV2GQIs-2FcwAuUqIGcz6AvTVGHOgdPfPuFUrERFFpMBP-2BQshOeMa4RLrE-2FW22s6YgTm3yodzHIK7xJkDbnayJ-2F54uEtPsuIaIe1hVxUZMY7gJqumjOBCKS3NSEcIXLo46UUNlTxSKGjd7LCPh3Io-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXWyZAtnOw$">A
Unified Diagnostic Framework via Symmetrized Data Aggregation</a><br>
Yanhong Liu, Haojie Ren & Zhonghua Li<br>
Pages: 1-23 | DOI: 10.1080/24725854.2023.2212725This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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Sparse Expansion For Deep Gaussian Processes</a><br>
Liang Ding, Rui Tuo & Shahin Shahrampour<br>
Pages: 1-25 | DOI: 10.1080/24725854.2023.2210629This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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Directed-structural Change-point Detection: A Segment-wise Time-varying Dynamic Bayesian Network Approach</a><br>
Xing Yang & Chen Zhang<br>
Pages: 1-24 | DOI: 10.1080/24725854.2023.2207252This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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<p style="margin:0in;margin-bottom:.0001pt;line-height:13.5pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="https://urldefense.com/v3/__https:/url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2Y6MdAyQ17-2BnWCG-2BkDRzjfhzKdtLVpRBUf1xc7y0fpastunYONHXsmcyq8RjF6i156gNsHrOm-2B2LLHPL-2FgetCh8HjhJdQ7-2F39XV-2F2lYWAS-2Fg-3D-3DFlUO_uW7BI8P5QSLi1V0o0-2FkmceDxz-2F7EzZQQYYrM55n-2Bw4Wqi-2B1ZRoY0qLvOApRUuo2r1U7OUbCWcE5bE1gydvCTuMY-2F3tQIWPvEu5Y4bclXdB-2FNxS7l4OTFmw48tp6IEeJXak-2BaVRkBsfpFP4K5ztupo-2BajfXVM1JMce9XEUOMBgwYo4FncGbO8XhkKR3mmsekpjGQNkTgWajOCbei76nfesn1eNzl0GxERX-2B-2F9U-2FF7uuzm4QRAtfu2rDock56AaUeFQR94ErVyNeF4oxwUPeDUNYs-2FQufzzgOFAbQxhXnaCy4-3D__;!!KwNVnqRv!DjROLqt-Wtt7AFuL3KUIHSsbvHXqkx-jIuaA3yfBKjhpB9SBkwp_qbKUd1z-SM4jfWUaUbX6wXWCPf7BAg$">Transformer-enabled
generative adversarial imputation network with selective generation (SGT-GAIN) for missing region imputation</a><br>
Yuxuan Li, Zhangyue Shi & Chenang Liu<br>
Pages: 1-13 | DOI: 10.1080/24725854.2023.2193257<o:p></o:p></span></p>
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Network Design Considering Endogenous Customers’ Choices Under Probabilistic Arc Failures</a><br>
Pengcheng Dong, Yang Liu, Qingchun Meng & Guodong Yu<br>
Pages: 1-25 | DOI: 10.1080/24725854.2023.2209622This is the author accepted version which has not been proofed or edited<o:p></o:p></span></p>
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