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How can manufacturing platforms efficiently schedule thousands of production orders while meeting delivery deadlines and ensuring fair resource allocation?
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As Manufacturing-as-a-Service (MaaS) ecosystems continue to grow, production planning becomes increasingly complex. Traditional optimization methods can accurately model these environments, but often struggle to scale to industrial workloads involving thousands of jobs. At CPAIOR 2026 in Rabat, Morocco, we presented our latest…
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From electronic waste to optimized production
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At Optiscale, we explore how Waste Electrical and Electronic Equipment (WEEE) can be transformed into a valuable input for magnet manufacturing. Our work focuses on designing circular value chains for the recovery and reuse of magnetic materials from WEEE. In our study, “WEEE Flow for Magnets”,…
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Advancing Production Scheduling in Textile Manufacturing
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At Optiscale, we turn advanced optimization research into real industrial impact. Our work on production scheduling in textile weaving—published in the International Journal of Production Research(Taylor & Francis)—tackles one of the most complex challenges in textile manufacturing: efficiently scheduling hundreds of fabric…
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Optiscale: Water management in Chemical and Oil refinery industries
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We’re pleased to share our recent work published in Expert Systems with Applications (Elsevier), on a Decision Support System (DSS) that models industrial water networks as process networks consisting of: • Freshwater and wastewater sources • Treatment processes • Connection links with capacity, quality, and reduction-rate attributes The DSS is…
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A Framework for Optimization-as-a-Service in Manufacturing
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Optiscale at the forefront of Optimization-as-a-Service for Industry 4.0 We’re excited to share our latest scientific publication presented at IEEE IISA 2025:“A Framework for Optimization-as-a-Service in Manufacturing”, featuring our core technology, optEngine, Optiscale’s middleware solution that enables Optimization-as-a-Service (OaaS) in modern industrial environments. The…
